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ResearchGate: An effective altmetric indicator for active researchers?

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... Similar to Google Scholar, ResearchGate also computes and publishes a number of metrics (such as reads, citations, h-index, etc.) and also assigns an RG score to its members, though it is not fully known how exactly this score is computed from different components of a member's profile. Many studies analysed the different metrics of ResearchGate, with respect to their correlations with metrics from other bibliometric databases, rankings, and online platforms (Banshal et al., 2021;Copiello, 2019;Copiello & Bonifaci, 2018Jordan, 2015;Kraker & Lex, 2015;Lepori et al., 2018;Nicholas et al., 2016;Shrivastava & Mahajan, 2015Thelwall & Kousha, 2015, 2017a, 2017bYu et al., 2016). Similarly, the RG score has also been explored quite a lot in several respects, including its computation & reproducibility (Copiello, 2019;Copiello & Bonifaci, 2018Jordan, 2015;Kraker & Lex, 2015), its correlation with related measures from bibliometric databases (Shrivastava & Mahajan, 2015;Thelwall & Kousha, 2015, 2017a, 2017b, and its usefulness as a measure of academic reputation (Lepori et al., 2018;Yu et al., 2016). ...
... Many studies analysed the different metrics of ResearchGate, with respect to their correlations with metrics from other bibliometric databases, rankings, and online platforms (Banshal et al., 2021;Copiello, 2019;Copiello & Bonifaci, 2018Jordan, 2015;Kraker & Lex, 2015;Lepori et al., 2018;Nicholas et al., 2016;Shrivastava & Mahajan, 2015Thelwall & Kousha, 2015, 2017a, 2017bYu et al., 2016). Similarly, the RG score has also been explored quite a lot in several respects, including its computation & reproducibility (Copiello, 2019;Copiello & Bonifaci, 2018Jordan, 2015;Kraker & Lex, 2015), its correlation with related measures from bibliometric databases (Shrivastava & Mahajan, 2015;Thelwall & Kousha, 2015, 2017a, 2017b, and its usefulness as a measure of academic reputation (Lepori et al., 2018;Yu et al., 2016). ...
... It has been explored both as a repository of scientific publications (Borrego, 2017;Jamali, 2017;Lee et al., 2019;Muscanell & Utz, 2017;Van Noorden, 2017) and as an academic social network platform for information sharing and dissemination (Ebrahimzadeh et al., 2020;Mason & Sakurai, 2020;Meier & Tunger, 2018;Ortega, 2017;Yan & Zhang, 2018;Yan et al., 2021). There are also many previous studies on different metrics of ResearchGate, including their correlations with metrics from other bibliometric databases, rankings, and online platforms (such as Banshal et al., 2021;Copiello, 2019;Copiello & Bonifaci, 2018Jordan, 2015;Kraker & Lex, 2015;Lepori et al., 2018;Nicholas et al., 2016;Shrivastava & Mahajan, 2015Thelwall & Kousha, 2015, 2017a, 2017bYu et al., 2016). The RG score is one popular metric of ResearchGate which has been explored quite a lot in several respects, including its computation & reproducibility (Copiello, 2019;Copiello & Bonifaci, 2018Jordan, 2015;Kraker & Lex, 2015), its correlation with related measures from bibliometric databases (Shrivastava & Mahajan, 2015;Thelwall & Kousha, 2015, 2017a, 2017b, and its usefulness as a measure of academic reputation (Lepori et al., 2018;Yu et al., 2016). ...
Article
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ResearchGate has emerged as a popular professional network for scientists and researchers in a very short span. Similar to Google Scholar, the ResearchGate indexing uses an automatic crawling algorithm that extracts bibliographic data, citations, and other information about scholarly articles from various sources. However, it has been observed that the two platforms often show different publication and citation data for the same institutions, journals, and authors. While several previous studies analysed different aspects of ResearchGate and Google Scholar, the quantum of differences in publications, citations, and metrics between the two and the probable reasons for the same are not explored much. This article, therefore, attempts to bridge this research gap by analysing and measuring the differences in publications, citations, and different metrics of the two platforms for a large data set of highly cited authors. The results indicate that there are significantly high differences in publications and citations for the same authors captured by the two platforms, with Google Scholar having higher counts for a vast majority of the cases. The different metrics computed by the two platforms also differ in their values, showing different degrees of correlation. The coverage policy, indexing errors, author attribution mechanism, and strategy to deal with predatory publishing are found to be the main probable reasons for the differences in the two platforms.
... It offers many metrics useful for researcher level evaluation: RG Score, Total Research Interest, citations, h-index, recommendations, reads, research items, projects, questions, answers, following, followers (Shrivastava & Mahajan, 2015;Wiechetek, 2019;Wiechetek et al., 2020). These metrics may be used for recruitment, promotion and a broad researcher evaluation (Orduna-Malea et al., 2017;Yu et al., 2016;Martín-Martín, 2016;Thelwall & Kousha, 2017;Gumpenberger et al., 2016;Jordan, 2015). ResearchGate also provides university level metrics: The total RG Score, number of publications and the number of researchers which could be used to compare the research units, faculties, or the universities as a whole, and assist with the process of organizational level evaluation. ...
... The analysis and observations made by the authors also indicate that the biggest impact on the RG score value was made by publications (not only on the quantity but also the quality), the activity level on the portal has a smaller impact. Some research also indicates that researcher level rankings based on the RG score correlate moderately with other academic rankings and therefore also reflect the traditional academic capital (Thelwall & Kousha, 2015), as well as platform engagement and seniority (Hoffmann et al., 2016) and therefore it may be used as an indicator of research performance (Yu et al., 2016). ...
... The analysis and observations made by the authors indicate that the most significant impact on the RG score value are publications (not only the quantity, but also the quality), activity on the portal has less influence. Some scientists also indicate that researcher level rankings based on the RG score correlate moderately with other academic rankings and therefore not only reflect the traditional academic capital (Thelwall & Kousha, 2015), but also the platform engagement and seniority (Hoffmann et al., 2016) and therefore, it may be an indicator for measuring researcher performance (Yu et al., 2016). In our opinion, the most important and valuable asset of the university is people, particularly researchers, and therefore the aggregation of researcher level metrics may be used to build university level indicators useful for developing a new metric which can support traditional academic rankings. ...
Article
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Social networks have become popular among researchers and scientists. Specialized platforms for researchers offer many metrics and indicators which are used to evaluate various scientists and assess the strength of their impact. In this article the authors perform systematic comparison between the main university level ResearchGate (RG) metrics: total RG Score, number of publications, number of affiliated profiles and ARWU. A tool for acquiring the RG metrics of research units and a framework for calculating alternative university ranks was implemented and tested. As a point of reference the ranking system of the Academic Ranking of World Universities (ARWU, 2019) was used. The authors used a web scraping technique to acquire data. Data analysis was based on Spearman's rho and multiple linear regression (MLR). Ten additional ranks were developed and compared with the benchmark ranking. The k-means clustering method was used to identify the groups of ARWU universities. The research results show that the metrics provided by specialized social networks can be used for the assessment of universities, however, an in-depth evaluation requires a more advanced procedure and indicators to measure many areas of scholarly activity like research, integration, application, teaching, and co-creation. Clustering method showed also that the distance between the ARWU universities measured in values of RG metrics are bigger for the top of the ranking. The university authorities should encourage researchers to use specialized social networks, and train them how to do it, to promote not only their own achievements, but also to increase the impact and recognition of their respective research units. At the end of the article some limitations of the method used and some practical recommendations for the university authorities were formulated.
... ResearchGate also computes and publishes a number of metrics (such as reads, citations etc.) and also assigns an RG score to its members, though it is not fully known how exactly this score is computed from different components of a member's profile. Many studies analysed the different metrics of ResearchGate, with respect to their correlations with metrics from other bibliometric databases, rankings and online platforms (Thelwall & Kousha, 2015;Kraker & Lex, 2015;Jordan, 2015;Shrivastava & Mahajan, 2015;Nicholas, Clark & Herman, 2016;Yu et al., 2016;Thelwall & Kousha, 2017a, 2017bShrivastava & Mahajan, 2017;Lepori, Thelwall & Hoorani, 2018;Copiello & Bonifaci, 2018;Copiello & Bonifaci, 2019;Copiello, 2019;Banshal, Singh & Muhuri, 2021). The RG score has been explored quite a lot in several respects, including its computation & reproducibility (Kraker & Lex, 2015;Jordan, 2015, Copiello & Bonifaci, 2018Copiello & Bonifaci, 2019;Copiello, 2019), its correlation with related measures from bibliometric databases (Thelwall & Kousha, 2015;Shrivastava & Mahajan, 2015;Thelwall & Kousha, 2017a, 2017b, and its usefulness as a measure of academic reputation (Yu et al., 2016;Lepori, Thelwall & Hoorani, 2018). ...
... Many studies analysed the different metrics of ResearchGate, with respect to their correlations with metrics from other bibliometric databases, rankings and online platforms (Thelwall & Kousha, 2015;Kraker & Lex, 2015;Jordan, 2015;Shrivastava & Mahajan, 2015;Nicholas, Clark & Herman, 2016;Yu et al., 2016;Thelwall & Kousha, 2017a, 2017bShrivastava & Mahajan, 2017;Lepori, Thelwall & Hoorani, 2018;Copiello & Bonifaci, 2018;Copiello & Bonifaci, 2019;Copiello, 2019;Banshal, Singh & Muhuri, 2021). The RG score has been explored quite a lot in several respects, including its computation & reproducibility (Kraker & Lex, 2015;Jordan, 2015, Copiello & Bonifaci, 2018Copiello & Bonifaci, 2019;Copiello, 2019), its correlation with related measures from bibliometric databases (Thelwall & Kousha, 2015;Shrivastava & Mahajan, 2015;Thelwall & Kousha, 2017a, 2017b, and its usefulness as a measure of academic reputation (Yu et al., 2016;Lepori, Thelwall & Hoorani, 2018). Despite many previous studies of different kinds on both Google Scholar and ResearchGate, the two platforms have not been explored much together. ...
... For example, the RG score value for the author having GS h-index 299 is 54.28 and for the author having GS h-index value 100, it is 51.63. Thus, RG score appears to be lacking the differentiating ability between different authors and may not be an appropriate measure of scientific reputation of an author (usually measured in terms of publications and citations), as also pointed out in several previous studies (Kraker & Lex, 2015;Jordan, 2015, Yu et al., 2016Lepori, Thelwall & Hoorani, 2018;Copiello & Bonifaci, 2018;Copiello & Bonifaci, 2019;Copiello, 2019). ...
Preprint
Full-text available
ResearchGate has emerged as a popular professional network for scientists and researchers in a very short span of time. Similar to Google Scholar, the ResearchGate indexing uses an automatic crawling algorithm that extracts bibliographic data, citations and other information about scholarly articles from various sources. However, it has been observed that the two platforms often show different publication and citation data for the same institutions, journals and authors. This paper, therefore, attempts to analyse and measure the differences in publication counts, citations and different metrics of the two platforms for a large data set of highly cited authors. The results indicate that there are significantly high differences in publication counts and citations for the same authors in the two platforms, with Google Scholar having higher counts for a vast majority of the cases. The different metrics computed by the two platforms also differ in their values, showing different degrees of correlations. The coverage policy, indexing errors, author attribution mechanism and strategy to deal with predatory publishing are found to be the main probable reasons for the differences in the two platforms.
... Baskaran (2013) used SciVal to analyze the research productivity of universities, using quantitative research to conduct a statistical analysis of various cooperation relationships from countries, institutions, and topics [23]. Yu et al. (2016) compared the Research-Gate, SciVal databases, and research products through a correlation matrix analysis. Combining the QS World Ranking and the research output, they found that the performance of research output in the database is positively correlated with world ranking performance [33]. ...
... Yu et al. (2016) compared the Research-Gate, SciVal databases, and research products through a correlation matrix analysis. Combining the QS World Ranking and the research output, they found that the performance of research output in the database is positively correlated with world ranking performance [33]. Dresbeck (2015) found that SciVal helps us to answer recruitment, organizational, and investment issues and allows us to allocate institutional resources reasonably [34]. ...
Article
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This study evaluates institutional research performance in benchmark technological universities in Taiwan through intelligent research databases (SciVal) in digital libraries with Ministry of Education open data to explore the performance of research indicators and the research trend of topic clusters to ascertain accountability for decision makers. The research performance of eight benchmark technological universities in Taiwan is compared in this study. In addition, the trends in research topics in the top 10% of journals are explored. Descriptive statistics, correlation, ANOVA, and the Boston Consulting Group matrix were used in this study. Research personnel, publications, productivity, total citations, number of international collaborations, and academic research income in 2018 significantly positively correlated with each other. From 719 records of research topics, topic clusters and school types are the significant factors in research outputs. Biosensors, electrodes, and voltammetry are the leading topic clusters in the research trend. The topic cluster of decision-making, fuzzy sets, and models has the best growth rate in the SciVal results. This analysis provides useful insights to policymakers to improve institutional administration and research resource allocation.
... M.-C. Yu, Wu, Alhalabi, Kao, and Wu (2016) also mention that research performance has become more important than ever before for academic institutions to compete for ranking, funding and students' enrollment. ...
... LinkedIn and Google scholar etc. are developed by the researchers or academic institutions to foster the collaboration among the research scholars and sharing the research outcomes to gain peer recognition (M.-C. Yu et al., 2016). Greenhow et al. (2017) used mixed methodologies to investigate the relation between social media and researchers, study was conducted on the 1st year doctoral students and it was explored that doctorate students have positive perceptions of using Twitter in order to seek new knowledge in the field of interest. ...
Article
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Research is getting enormously important to compete with rival institutes for ranking, financial funding, students enrollment. However, there still exist numerous gaps in our understanding of creating a knowledge generating environment that will produce superior quality research. With the initiation of web 2.0 technology, a model of social networking sites has become increasingly famous. With ever increasing popularity, these social media have been used by researchers and academicians as well to enrich the learning outcome and academic performance. However, OSNS have been a debatable topic in academia with its impact on the academic performance of the students. In this study, the impact of OSNS is investigated on the research performance of students in Pakistan. The survey questionnaire technique is used to gather the data from a sample of 212 research students. And to testify the hypothesis, factor analysis and regression analysis technique are used. The results showed a contradiction in the perception and behavior of the research students. Perceived usefulness of OSNS, information quality and media sharing via OSNS have proved to have a positive impact on the researcher's performance whereas collaboration has a negative impact; perceived behavior and facilitation support have an insignificant impact on researcher's performance. It is suggested to the researcher and supervisor both to consider the implication of OSNS in research work for better research output.
... ASNs are being used by an increasing number of early career researchers to build their international profile and connect with researchers around the world [66]. ResearchGate scores are an effective indicator of reputation [67] that provides information on academic productivity, and as Yu et al. [68] point out, the ResearchGate score has shown potential as an alternative performance indicator for academic institutions and could be an "effective indicator to measure the performance of an individual researcher." ...
... Among the main conclusions drawn from our research, we found that ResearchGate have a significant and positive relationship with each of the h-indices (Google Scholar and Web of Science), coinciding with authors such as Yu et al. [68] and Nicholas et al. [67], who defend that it is an indicator of academic reputation. Furthermore, this relationship is particularly strong in the case of Google Scholar because it has a higher β coefficient. ...
Article
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Is there any type of relationship between the academic productivity of business researchers and their social networking activity? What does this mean in terms of open innovation? With these objectives, in this paper we have focused on the Technology Acceptance Model and the concept of performativity, filling the gap that exists in the current scientific literature. At the empirical level, we carried out a review of 211 articles from the Web of Science (SSCI), obtaining a total set of 12,939 data points. Our statistical model has showed a clear symbiotic relationship between productivity in Google Scholar and presence in ResearchGate. Furthermore, researchers with a greater presence on LinkedIn or Twitter have low Google Scholar or Web of Science h-indices. We concluded that there is currently a dissociation between academic and professional online networks, something that does not help the applicability of research in business and society, the enduring aim of any search for knowledge. Information Science can play an important role in helping to bridge the gap between academia and the real world. Furthermore, in order to contribute to enhancing the role of universities in open innovation practices, it is essential to design and implement new tools such as online communities that stimulate interaction and facilitate network effects.
... https://orcid.org SNS are used also by the organisations, companies, universities, research labs for marketing purposes and to promote their achievements (Yu et al., 2016;Jordan, 2015;Martín-Martín et al., 2016;Gumpenberger et al., 2016;Orduna-Malea et al., 2017). Social networking portals interested both young researchers who are starting the research career and mature, experienced scientists wanting to share their knowledge and experiences with the academics all over the world (Mason, 2020). ...
... Although the ResearchGate is not an ideal tool and presents the less citations than Google Scholar (Thelwall and Kousha, 2017;Wiechetek, 2019), it is still one of the most popular SNS for scientists, easy to access and free of charge. It provides also a lot of useful metrics that can be used for the evaluation of educators and academics performance in the digital world (Hoffmann et al., 2016;Thelwall and Kousha, 2015;Yu et al., 2016;Shrivastava and Mahajan, 2015). The fast development of the RG portal allows for the assumption that the benefits of using ResearchGate exceed the concerns and therefore RG is nowadays one of the leading academic social networking platforms. ...
Article
Digital transformation is an irreversible process today. One of the fundamental tools of the digital economy is the internet and its social networks based on Web 2.0 tools. The purpose of the article is to compare the usage of one of the most popular academic social network ResearchGate by business researchers from Poland and Slovenia (n = 896). The descriptive statistics, correlation analysis, k-means clustering, and tests of significance were used. The analyses showed that ResearchGate portal is not frequently used by researchers. The main differences relate to RG score and number of citations. The RG Score is strongly positive correlated with number of citations, published items and reads. Clustering procedure identified five groups of RG users that could be called balanced, appreciated, beginners, knocking and poets. The researchers should be more encouraged to use specialised social networking sites to promote their achievements and the performance of the research teams or university units.
... ResearchGate es una de las redes sociales académicas de libre acceso más utilizada del mundo, y la única que ha formalmente visibilizado de manera directa las publicaciones científicas sobre la pandemia, además de crear la comunidad denominada COVID-19 research community. 1 Fundada en 2008 por Ijad Madisch a la fecha actual cuenta con más de 17 millones de usuarios según las mismas estadísticas de la plataforma web, 2 permitiendo a los investigadores que la usan difundir, conocer y retroalimentar las ideas y el trabajo de sus colegas en varias partes del planeta, de forma gratuita, favoreciendo su colaboración (Yu et al., 2016). La plataforma ofrece a los usuarios y visitantes varias métricas para el seguimiento de la 1 https://bit.ly/39uThYE 2 https://bit.ly/3iaZnS3 ...
... A pesar de los pocos años de funcionamientos, la plataforma y sus métricas son recocidas y utilizadas para el estudio de la reputación académica de investigadores (Muscanell & Utz, 2017) y universidades (Yan & Zhang, 2018;Yu et al., 2016), su rendimiento académico y el impacto de la actividad de investigación y comunicación de la ciencia, mostrando correlaciones significativas con otros indicadores tradicionales ampliamente utilizados (Onyancha, 2015;Ortega, 2015;Thelwall & Kousha, 2015). Varios de estos estudios coinciden en considerar ResearchGate como un canal de comunicación académica informal entre científicos reconociendo su potencial para ampliar el dialogo con otros sectores de la sociedad (Sugimoto et al., 2017;Yan & Zhang, 2018). ...
Chapter
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El rápido desarrollo de las TIC ha revolucionado y multiplicado las formas con las cuales las personas se comunican en todo el planeta y el mundo académico ha adoptado muchas de estas herramientas para mejorar su tarea de comunicación y colaboración en favor de la investigación científica, la difusión de conocimientos y el diálogo con la sociedad, en un escenario en el cual los límites entre comunicación académica formal e informal y la comunicación científica son difíciles de identificar. ResearchGate es una de las redes sociales académicas de libre acceso más utilizada del mundo, la cual ha formalmente visibilizado de manera directa las publicaciones científicas sobre la pandemia, además de crear la comunidad denominada COVID-19 research community. El estudio pretende contribuir a una definición de las características e impacto de su uso para la difusión de conocimiento por parte de los científicos ecuatorianos en el contexto generado por la pandemia de la COVID-19 mediante ResearchGate. La comunidad científica de las ciencias médicas resulta la más activa y reconocida, seguida por las ciencias sociales y de la vida. También los documentos científicos que captan mayor interés de los usuarios de la red son del ámbito médico, en particular los artículos publicados en revistas de alto impacto (Q1 y Q2), artículos publicados en medios de menor impacto y los pre-prints. La prevalencia de investigadores afiliados a instituciones de la ciudad de Quito evidencia la presencia de grupos consolidados vinculados a institutos y centros de investigación internacionales. La universidad cuencana es representada por una sola afiliación registrada, evidenciando un importante vacío cognoscitivo acerca de la labor desarrollada por las instituciones de educación superior de la ciudad.
... https://orcid.org SNS are used also by the organisations, companies, universities, research labs for marketing purposes and to promote their achievements (Yu et al., 2016;Jordan, 2015;Martín-Martín et al., 2016;Gumpenberger et al., 2016;Orduna-Malea et al., 2017). Social networking portals interested both young researchers who are starting the research career and mature, experienced scientists wanting to share their knowledge and experiences with the academics all over the world (Mason, 2020). ...
... Although the ResearchGate is not an ideal tool and presents the less citations than Google Scholar (Thelwall and Kousha, 2017;Wiechetek, 2019), it is still one of the most popular SNS for scientists, easy to access and free of charge. It provides also a lot of useful metrics that can be used for the evaluation of educators and academics performance in the digital world (Hoffmann et al., 2016;Thelwall and Kousha, 2015;Yu et al., 2016;Shrivastava and Mahajan, 2015). The fast development of the RG portal allows for the assumption that the benefits of using ResearchGate exceed the concerns and therefore RG is nowadays one of the leading academic social networking platforms. ...
Article
Digital transformation is an irreversible process today. One of the fundamental tools of the digital economy is the internet and its social networks based on Web 2.0 tools. The purpose of the article is to compare the usage of one of the most popular academic social network ResearchGate by business researchers from Poland and Slovenia (n = 896). The descriptive statistics, correlation analysis, k-means clustering, and tests of significance were used. The analyses showed that ResearchGate portal is not frequently used by researchers. The main differences relate to RG score and number of citations. The RG Score is strongly positive correlated with number of citations, published items and reads. Clustering procedure identified five groups of RG users that could be called balanced, appreciated, beginners, knocking and poets. The researchers should be more encouraged to use specialised social networking sites to promote their achievements and the performance of the research teams or university units.
... Second, the emergence of social media and social networking platforms has transformed the way individuals interact with one another (Aghakhani, Karimi, & Salehan, 2018). This transformation is also evident in the online community of practice, particularly scholar communities (Yu, Wu, Alhalabi, Kao, & Wu, 2016). ...
... Scholarly works on the importance of ASNS for scholars suggest that the virtual networks assist researchers to connect and interact with their peers effectively through exchange of information, altmetrics, and information behaviour in research communities and higher education institutions (Mason & Sakurai, 2021;Yan et al., 2021;Yan & Zhang, 2019). They all agreed that ASNS are becoming an important tool in the professional lives of researchers, providing an online space for international academic discourse and empirical evidence that measures individual researcher performance (Yu et al., 2016). At the micro-level, ASNS serve to facilitate, (a) knowledge sharing, (b) networking, and (c) identity-building (Corvello et al., 2020). ...
Conference Paper
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This paper seeks to elaborate the perception and experience of the Indonesian international relations (IR) community regarding the utilisation of digital platforms, widely known as academic social network sites (ASNs) such as Google Scholar and ResearchGate, in supporting their efforts to build personal branding as academics. Our study derived from online training sessions supported by the 2022 Binus Community Development Internal Grant (HIP 2022) which was conducted in collaboration with the Indonesian Association for International Relations (AIHII). Using a unique dataset on an online self-reporting survey, the findings suggest that most respondents consider digital presence is important for academics to thrive in their career (75%). In terms of preferences in using ASNs, it is clear that some platforms are more popular than the others. Almost 48% and 27% of informants have established an account in Google Scholar and ResearchGate respectively. Far less interest was displayed towards ORCID, as only 12% of respondents indicated that they have joined the platform. The paper contributes to the conversation surrounding personal branding using digital platforms among academics in a Global South setting by using Indonesia as a case study. We conclude by offering insights on the potential of research avenues for future study.
... Social web sites allow researchers to automatically submit papers and research results; for example: LinkedIn, Academia.edu, Research Gate, Google Scholar [1]. ...
Chapter
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To face the problem of information overload, digital libraries, like other businesses, have used recommender systems and try to personalize recommendations to users by using the textual information of papers. This textual information includes title, abstract, keywords, publisher, author and other similar items. Since the volume of papers is increasing day by day and recommender systems do not have the ability to cover this huge volume to process papers according to the user’s tastes, that is why we need to use our papers to cover and process this volume quickly. We have big data tools, which will offer relevant recommendations by running parallel processing. In this chapter, the researches and researches of researchers in the field of recommender systems/aware of the text of scientific papers and recommender systems have been discussed.
... Singh et al. (2022) directly compared RG Score with the Google Scholar h-index, noting that the latter counted more publications and citations than the former, thus ultimately leading to a higher Google Scholar h-index than an RG h-index. Yu et al. (2016) found a very weak positive correlation between RG Score and Elsevier's SciVal (0.209), a weak positive correlation with Research Excellence Framework (0.409) but a moderately strong positive correlation with Quacquarelli Symonds World University Rankings (0.627), using RG members (only SRAs in the field of supply management) with at least an RG Score of 3.0 as their sample. Thelwall and Kousha (2017a) concluded that "ResearchGate article views have low to moderate correlations with both Scopus citations and Mendeley readers" (p. ...
Article
ResearchGate (RG) is a popular academic social media networking platform for scientists, researchers, or academics (SRAs). RG automatically provides a metric, the RG Score, to each RG account holder, and this metric serves as a measure of that SRA's "academic" worth, productivity and interaction with other SRAs. In 2017, this metric was described by RG as "the RG Score takes all your research and turns it into a source of reputation", indicating that "it is calculated based on the research in your profile and how other researchers interact with your content". However, the precise manner in which the RG Score is calculated was never made known to the public because it is a proprietary algorithm, and requests to RG to disclose details of the equations used to calculate it were not met. Not unsurprisingly, RG phased out RG Score after July of 2022. This paper examines what is known in the literature about the RG Score, which may be perceived as a skewed metric because it may add excessive weighting to select aspects, such as questions and answers, rather than to, for example, the published literature of an SRA. The RG Interest Score is also examined and critiqued. An author-based metric such as the RG Score that reflects a realistic balance between the most important academic factors, while downplaying fairly redundant aspects such as the volume of answers, might benefit SRAs. As for any metric, the RG Score should not be used in isolation, nor should it be gamed or used as the basis of any financial remuneration schemes.
... Any teacher-researcher should not only write and publish their scientific and methodological articles, but also promote their papers and measure individual researcher performance by means of such scholarly social networks as Research Gate, Academia.edu, Mendeley, Kudos, etc. [33] or social media in both formal and informal learning [34]. Last but not least, any teacher-master must be ready to inspire one's colleagues to develop professionally continuously, including with the help of connectivism-oriented MOOCs. ...
... SciVal, built by Elsevier utilizing Collexis' semantic technology after being bought in 2010, is a subscription -based research performance assessment platform. SciVal is a Scopus-based scientific performance assessment tool [11]. SciVal develops researcher profiles based on Scopus and keeps publication and funding information [12]. ...
Article
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Bibliometric indicators originally counted ways to measure research quality. This endured for decades following the term's introduction. The purpose of this research is to carry out a bibliometric analysis of the present status and trends in computer science articles written by Indonesian authors that are included in the Scopus database. Bibliographic indicators were analyzed using SciVal (www.scival.com). Elsevier constructed SciVal using Collexis' semantic technology after buying it in 2010. SciVal evaluates scientific performance using Scopus and tracks funding. Between the years 1998 and 2022, the total number of indexed papers in Scopus that discuss the advancement of research outcomes in computer science has greatly expanded. This rise reached its highest point in 2019, with 121 publications. Santoso is the most prolific Indonesian researcher when it comes to releasing research results on computer science in Indonesia. The University of Indonesia has been the most helpful sponsor in terms of sponsoring computer science research.
... RG score is an effective indictor to measure research performance 14 and it realistically mirrors the research activity level of the institutions 15 . Cho (2021) 16 examined highly cited academic papers in social sciences and measured the altmetric such as views, readers, blogs, Wikis, and Tweets using PlumX metrics and found that most of the papers had one or more readers in Mendeley and had one or more references in Wiki. ...
Article
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This research aims to identify the state-wise list of active medical institutions in India that participated in the National Institutional Ranking Framework (NIRF) ranking (2019-21). A total of 52 institutions were ranked during the three years. However, only 28 of them have remained in the NIRF rankings for all three years. The research performance of these 28 institutions was examined based on their publications indexed in Scopus, Pubmed, and ResearchGate (RG). In addition, the membership registration details, altmetric such as reads, and RG scores were retrieved from ResearchGate. Compound annual growth rate (CAGR) was employed in the retrieved data to identify the growth rate. All India Institute of Medical Sciences, New Delhi is in the top position based on NIRF as well as ResearchGate Scores. SRM Institute of Science and Technology tops in NIRF score growth rate (6.50%) and Saveetha Institute of Medical and Technical Sciences is leading in ResearchGate score growth rate (55.41%). Kasturba Medical College, (Manipal and Mangaluru) and St. John's Medical College do not have contributions in ResearchGate. The overall publication growth rate of these 28 institutions put together is high for PubMed (13.08%) followed by Scopus (10.06%) and ResearchGate (8.77%). The study recommends that the institutions may encourage their faculty members to make their published research works available in ResearchGate to in order to boost the institution’s visibility.
... RG score is an effective indictor to measure research performance 14 and it realistically mirrors the research activity level of the institutions 15 . Cho (2021) 16 examined highly cited academic papers in social sciences and measured the altmetric such as views, readers, blogs, Wikis, and Tweets using PlumX metrics and found that most of the papers had one or more readers in Mendeley and had one or more references in Wiki. ...
Article
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This research aims to identify the state-wise list of active medical institutions in India that participated in the National Institutional Ranking Framework (NIRF) ranking (2019-21). A total of 52 institutions were ranked during the three years. However, only 28 of them have remained in the NIRF rankings for all three years. The research performance of these 28 institutions was examined based on their publications indexed in Scopus, Pubmed, and ResearchGate (RG). In addition, the membership registration details, altmetric such as reads, and RG scores were retrieved from ResearchGate. Compound annual growth rate (CAGR) was employed in the retrieved data to identify the growth rate. All India Institute of Medical Sciences, New Delhi is in the top position based on NIRF as well as ResearchGate Scores. SRM Institute of Science and Technology tops in NIRF score growth rate (6.50%) and Saveetha Institute of Medical and Technical Sciences is leading in ResearchGate score growth rate (55.41%). Kasturba Medical College, (Manipal and Mangaluru) and St. John's Medical College do not have contributions in ResearchGate. The overall publication growth rate of these 28 institutions put together is high for PubMed (13.08%) followed by Scopus (10.06%) and ResearchGate (8.77%). The study recommends that the institutions may encourage their faculty members to make their published research works available in ResearchGate to in order to boost the institution's visibility.
... Working with alternative metrics is not an idle interest of scientists, but a conscious need, confirmed by the attention to this topic on the part of publishers and governments. 140 The term "alternative metrics" itself, although it is already accepted in most studies, still leaves room for discussion 141 , since the word "alternative" implies their opposition to bibliometric indicators, which is fundamentally untrue. The main task of the new indicators is to provide more accurate, and Moreover, journals are striving to reduce the time lag, which became especially noticeable in the context of the Covid-19 pandemic and the need to quickly respond to new information received by scientists. ...
Thesis
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Scientific communication is an integral part of any scientific activity, which determines the forms of mutual integration of scientific information, and, consequently, the speed and effectiveness of knowledge production. Despite the high degree of autonomy, the system of scientific communication is significantly influenced by technological innovations, which is enhanced by the ongoing search for ways to optimize this type of interaction and tools to overcome the information crisis that has been going on for more than half a century. Today, one of the main factors in the transformation of scientific communication is network and cloud technologies, which determine the process of digitalization of formal and informal interaction between researchers. One of the appearances of this process is academic social network sites, which we define as a type of specialized, professional Internet platforms built in accordance with the Web 2.0 architecture, allowing registered users to have their own page, download and upload various data, form connections with other users, as well as exchange public or private messages and files, and is designed to provide scientific communication on the Internet. The presence in academic social networks has become an important component of the researchers’ professional identity and, as a result, interaction with this type of digital platforms has firmly entered the structure of networking in the science-intensive sector of the economy. Over the 13 years that have passed since its launch, the largest academic social network ResearchGate, being a driver of the digitalization of scientific communication, has united more than 20 million researchers from 193 countries of the world and continues to demonstrate high growth dynamics of key indicators. Academic social networks act simultaneously as a means and environment of communication, a tool for ensuring visibility and building the scientific reputation of researchers. Also, this type of digital platforms, built in the logic of Open Science, can be used as a part of administrative measures to ensure open access - a backbone vector for the transformation of science in the first quarter of the 21st century. Academic social networks are the source of "digital traces" - data arrays, which, due to the high rate of accumulation, diversity and completeness, have an extremely high heuristic potential in the framework of scientific communication studies, showing hitherto unrecorded connections of the "invisible college". In fact, new social realities not only open up new possibilities, but also allow us to reconsider the application of classical methods, in particular the non-reactive strategy of social research In addition to digital traces, academic social networks also generate alternative scientific communication metrics – the so-called “web metrics” or “altmetrics”. These indicators can potentially be applied in the development and provision of new mechanisms for the administration of science in the context of neoliberal management principles. Unfortunately, to date, this type of digital platforms rarely comes to the attention of researchers, as a result of which we can talk about the significant unrealized heuristic potential of such social network platforms.
... In order to determine the existing experience of PhD students concerning the effectiveness of their scholarly activity (which can [16]), which prove that activity in ResearchGate is an effective altimetric indicator for active researchers. The findings show that the majority of the respondents do not have said profiles, however they would like to acquire this experience and believe it to be an important condition for selfrealization as researchers. ...
Conference Paper
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The article analyzes the experience of Jisc, which provides digital solutions for education and research in the UK, which became the basis for additional research on scaling the Jisc Reseacher model for the formation of digital competence of graduate students in higher education in different countries. The digital competence of the PhD students researcher of a particular educational institution is considered as a factor influencing the quality of education and the readiness of PhD students for its development. The result of the study is to determine the readiness of PhD students of Borys Grinchenko Kyiv University to acquire and develop their own digital competence of the researcher. The readiness to acquire and develop digital competence of graduate students both at the level of resource provision and basic digital competence and motivation of future researchers was confirmed by conducting a survey of the experimental group of graduate students of the 1st year of study. To identify general or specific problems for graduate students based on the analysis of average group values for each group of Jisc Reseacher competencies, unformed digital competencies of researchers were identified and the author’s interpretation of the causes and prospects of development was given.
... Publishers have also partnered with various Altmetric data service providers to demonstrate their online impact. It has piqued the interest of the world's largest database company, Elsevier, which acquired Mendeley in 2013 to broaden its reach into social networking services (Yu et al., 2016). ...
Article
Purpose – The study aims to analyse the “Top 100” articles that were most discussed on social media in 2020. Design/methodology/approach – This study is based on the data retrieved from the Altmetric database. The data were tabulated in Microsoft Excel for further analysis. Moreover, articles were examined at an individual level to retrieve author affiliations for research collaboration analysis. Findings – The most discussed article on social media for the year 2020 has an Article Attention Score (AAS) of 34775. COVID-19 related studies have dominated the list and it comes as no surprise since COVID-19 became the focal point of many researchers and publishers ever since the pandemic started. These articles have been published across 63 journals with the highest contributions from reputed journals such as Nature, PLoS ONE and Science. The majority (46%) of articles has been published in open access. Finally, the majority of publications are a result of research collaboration. Originality/value – This study reflects the societal impact of research that could be used as an indicator of research performance
... The combination of rapid development in social network technologies and explosive growth in publication output has turned these sites into research-oriented platforms effective for implementing web-based academic interaction and networking, as well as presenting professional images (Xia et al. 2016). The phenomenon has driven research on the scholarly use of ASN, which previously has focused on studying research impact using metrics, including traditional metrics and newly available alternative metrics from the ASN sites (Thelwall and Kousha 2015;Yu et al. 2016), as well as how scholars accept and use the ASN sites, interacting with the platform and their peers alike (Meishar-Tal and Pieterse 2017; Lee et al. 2019). There has been a research gap in examining the use differences of ASN sites by country, especially the use differences between developed and developing countries aiming to reach the global academic research community. ...
Article
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ResearchGate (RG) is an academic social networking (ASN) site that is used worldwide for scholarly communication. This study examines RG users from 21 top Chinese research universities and 61 U.S. research universities from three research activity levels to identify the differences in participation, interactions, and academic influences between their affiliated institutions on this ASN platform. The implications on scholarly communication and evaluation using altmetrics across nations are discussed.
... In the scientific literature, the market of educational Services is considered either as an independent object (Naushad, 2018), or as a derivative or secondary from the labour market (Yu, 2016). Proponents of the first approach justify their opinion, among other things, by the fact that educational institutions, when preparing the labour force, take into account the need primarily of applicants for education, and not of the employers' sector (Volchik, 2018). ...
Article
Introduction. Transition of the education system to the new state standards defined social order to the teacher: ensure that each student achieves learning results of such quality level which corresponds with the requirements of society. This goal achievement will require significant changes in the field of professional teaching activity, development of new relevant approaches. Teachers’ experience of classes organization in different educational institutions in the framework of their upskilling and retraining in the Institute of Teacher Career Development (Moscow, Russia) shows that their professional activities and the didactic materials used do not adequately implement the psychological patterns of the educational process. They do not adequately implement the processes of mastering and formation of students’ mental actions and concepts, thinking activity; and the teaching and learning activity of the students do not correspond to its psychological structure and content. Teachers reduce the meaning and content of their activity to explaining the material, transferring the «finished» knowledge to the student and demonstrating methods of solving practical problems in a specific domain in the form of samples or algorithms. At that, the emphasis is largely laid on hereditary and individual capabilities of educational process subjects, rather than on universal psychological mechanisms of social experience adoption process. Despite all attempts to optimize the educational process, educational institutions graduates’ proficiency level varies. The adoption of the Russian federal target program of education development for 2016-2020 meets the requirements of modern innovative socially oriented development of the Russian Federation. It highlighted the problem of educational process theory and its organization practice failure to solve the problem of quality education inavailability for each learner. The researches of foreign authors in the field of education conducted over the past 20 years give the priority to the problem of providing quality educational results by the teacher, the solution of which is directly related to the development of his or her professional activity, new educational technologies and courseware for the educational process. The purpose of this work is to assess the impact of the quality of education on the economic development of the country in social and labour relations. Results. The conducted research allows us to confirm that changes in the state of development of social and labour relations in the national economy in the direction of improvement or degradation are due to a number of factors of macroeconomic, demographic and migration nature and indicators of the education sector effectiveness. At the same time, educational factors both in aggregate in the form of an integral indicator (for the 3rd block of factors), and separately (for indicators: trained (graduated) qualified workers and university graduates, the share of employed graduates of technical education institutions and universities financing education by the public sector) have a direct significant relationship. Conclusions. The study confirms that the changes in the development of social and industrial relations in the national economy towards improvement or degradation are caused by a number of macroeconomic, demographic and migration background factors and indicators of the effectiveness of the education sector. Factors such as educational-related in the form of an integral indicator, as well as separately have direct significant relationship.
... Thelwall and Kousha (2015) have found that on the institutional level, correlations with existing rankings are only moderate, but that they may be more useful as alternative measures for distribution of social and reputational capital. Contrary to that, Yu et al. (Yu et al. 2016) have found high correlations to rankings based on institutional as well as on individual levels (data retrieved from REF). Other research on the score established that it may be unsuited as a "measure of reputation". ...
Chapter
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This contribution deals with Academic Social Network Sites (ASNS) as a resource for bibliometricians and informetricians. ASNS are a rather novel medium for scholarly communication, but they have reached a broad userbase and gained attention by novel information aggregators (such as PlumX), publishers and data providers. Based on a short sketch of basic characteristics and services of ASNS, this chapter provides an overview of existing research devoted to ASNS and its uses. In particular, the contribution deals with how metrics relying on data from ASNS are constructed and what problems and challenges arise in dealing with these metrics. I argue that more conceptual and theoretical work is to be done in order to understand the meanings of ASNS usage.
... e input and output of neurons are discrete values of 1 or −1, which represent the activation and inhibition states of neurons, respectively [11]. Stability, evolution ability, storage capacity, domain of attraction, and convergence rate are the five indicators to measure the performance of this neural network [12]. For a long time, cost effectiveness determines the success of an enterprise to a large extent. ...
Article
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In order to make up for the shortcomings of current performance evaluation methods, this paper proposes a new method of enterprise performance evaluation, discusses the construction principle of the evaluation index, and proposes a method of enterprise supply chain overall performance evaluation based on the discrete Hopfield neural network (DHNN) algorithm. Enterprise supply chain (SC) is an important way for enterprises to conduct business with other strategic partners in the market, and the improvement of SC performance is an important way to improve the core competitiveness of enterprises, so it is of great value to study the performance evaluation and index design of the enterprise SC. This method calculates the level value of the overall performance of the SC. This level value is a value between 0 and 1. The higher the value, the higher the overall performance level of the SC. Therefore, when evaluating the overall performance of the SC, appropriate index weights must be selected according to the characteristics of the industry, which helps to objectively evaluate the overall performance of the SC.
... According to Yu et al., (2016), social media has become a popular platform for interacting with the rest of the world, people have changed the way they communicate, distribute information, exchange ideas, and make friends. The advent of Web 2.0 Technology, point out Adriaanse and Rensleigh (2018), social networking tools with enhanced functionalities permeated academia and the research processes of researchers. ...
Article
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The objective of this study was to carry out, based on certain bibliometric and altimetric indicators, a summary assessment of the scientific productivity of Quisqueya University's researchers in 3 specific fields: agronomy, the environment and health. An experimental framework was designed and implemented based on the quantitative information available on the academic social network ResearchGate, and on SCOPUS and Google scholar, out of a total of 12,731 citations enumerated for Quisqueya University 317 as of December 31, 2020, 19% were for the environment, 19.3% were for health, 59.9% for agronomy and 1.8% for other sectors. All the sectors recorded a significant increase for the RG score altmetric indicator and for the two bibliometric indicators: number of citations and H-index. The data collected were analyzed using XLSTAT and R software. The Kolmogorov-Smirnov normality test was applied for each of the indicators. Pearson's rank correlation was used to calculate the correlations between the altmetric indicator (RG-Score) from ResearchGate and the bibliometric indicators (citation and H-index) from Google Scholar and Scopus. A significant positive correlation of α = 0.918 was observed between the number of citations on ResearchGate and on Google Scholar. a result in the same direction (α = 0.991) is also observed between the number of citations on ResearchGate and on Scopus. These correlations allow us to conclude that the work of these researchers was cited in publications published in journals referenced in the Web of Science by a rate exceeding 90%.
... Recently, there has been a huge development in what concerns scientometrics; specific journals are devoted to this topic and even there are scientometric analyses about publications on scientometrics 6 . In the quantification process of scientific research and its impact, there are other fields related to scientometrics such as bibliometrics 7,8 , informetrics 2 , cybermetrics 1 , and altmetrics [9][10][11] . ...
Article
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We performed a scientometric analysis of Chaos papers from 1991 to 2019, applying a careful disambiguation process for identifying the authors correctly. First, we used standard scientometric tools based on descriptive statistics. This analysis enabled us to compute productivity and the degree of collaboration. The evolution in the number of authors, countries, and topics per article has an increasing trend. An analysis of the citations considering their temporal mean number exhibits a growing tendency in time. Second, we dealt with Lotka–Zipf’s law considering the rank distributions of 15 datasets. We found that the sum of Crossref citations by country was the only dataset for which the power-law was the only plausible distribution. Next, we examined the networks of authors, countries, and topics, going from the simplest case of undirected and unweighted networks to the general case of weighted and directed networks and assigning a weight to the individual nodes. Based on the networks’ topology and features, we introduced diversity, collaboration, influence, and productivity measures and found a significant increase in the diversity of all the considered networks (authors, countries, and topics) but manifesting a very different network structure. The computation of typical network quantities combined with the communities’ identification reveals the presence of several hubs and the existence of various communities that encompass nodes of all the continents in the case of countries. Finally, using the most general networks, it was possible to compute influence and productivity indexes to find the USA, China, and Germany’s leadership inside the network.
Conference Paper
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Purpose: The academic social networking sites are considered as the most significant tools for sharing and analyzing scientific work for increasing the visibility of research. These social networking has emerged as the significant area to undertake various activities at different level. The prime objectives of the present study are to investigate the various activities among Universities faculties in the school of Physical Sciences in both the universities such as Tezpur University and Mizoram University at ResearchGate platform. Methodology: the method which is being applied for the purpose of the study include altmetrics approaches to analysis the activities of the faculties in both the universities. The data were collected through ResearchGate Database and respective university website. All the collected data were examined using MS Excel and SPSS Package for systemic analysis of the study.
Conference Paper
Purpose: The academic social networking sites are considered as the most significant tools for sharing and analyzing scientific work for increasing the visibility of research. These social networking has emerged as the significant area to undertake various activities at different level. The prime objectives of the present study are to investigate the various activities among Universities faculties in the school of Physical Sciences in both the universities such as Tezpur University and Mizoram University at ResearchGate platform. Methodology: the method which is being applied for the purpose of the study include altmetrics approaches to analysis the activities of the faculties in both the universities. The data were collected through ResearchGate Database and respective university website. All the collected data were examined using MS Excel and SPSS Package for systemic analysis of the study.
Chapter
Scholar social networks are composed of scholars and social connections among them. Studying such social networks can help promote academic exchanges and cooperation, and predict future trends in research. In this paper, we analyze SCHOLAT, a representative scholar social network in China, from three perspectives. First, we explore SCH-OLAT’s social graph, and we find this graph has a smaller average shortest-path length and a higher clustering coefficient than other social networks, for example, the collaboration network of Google Scholar and the Flickr social network. Moreover, we leverage the structural hole theory to identify important users on SCHOLAT. By comparing the top-500 structural hole spanners with 500 randomly selected users, we have found that the former have the higher values of several graph-based metrics, and they also connect more communities. Finally, we also undertake user group-based analysis, and we discover that the users belonging to Guangdong province, and the users from the top universities in China are well-connected and occupy important positions in the network. KeywordsSCHOLAT social networkSocial graph analysisStructural hole theoryUser group-based analysis
Thesis
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Научная коммуникация – неотъемлемая часть научной деятельности, определяющая формы взаимоинтеграции научной информации, а следовательно, скорость и результативность производства знаний. Несмотря на высокую степень автономности, система научной коммуникации существенно подвержена влиянию технологических инноваций извне, что усиливается за счет непрекращающегося поиска путей оптимизации этого типа взаимодействия и инструментов преодоления информационного кризиса, продолжающегося уже более полувека. На сегодняшний день одним из основных факторов трансформации научной коммуникации становятся сетевые и облачные технологии, детерминирующие процесс цифровизации формальных и неформальных форм взаимодействия исследователей. Одним из проявлений этого процесса являются академические социальные сети, которые мы определяем как тип специализированных, профессиональных интернет-платформ, выстроенных в соответствии с архитектурой Web 2.0, позволяющей зарегистрированным пользователям иметь свою собственную страницу, скачивать и загружать различные материалы, формировать связи с другими пользователями, а также обмениваться публичными или же личными сообщениями и файлами и призванной обеспечивать научную коммуникацию в интернете. Присутствие в академических социальных сетях стало важной составляющей профессиональной идентичности исследователей и, как следствие, взаимодействие с этим типом цифровых платформ прочно вошло в структуру сетевой работы в наукоемком секторе экономики. За 13 лет, прошедших с момента запуска, крупнейшая академическая социальная сеть ResearchGate, являясь драйвером цифровизации научной коммуникации, объединила более 20 млн исследователей из 193 государств мира и продолжает демонстрировать высокую динамику роста основных показателей. Академические социальные сети выступают в качестве средства и среды коммуникации, инструмента обеспечения заметности и построения научной репутации исследователей. Также этот тип цифровых платформ, выстроенный в логике Открытой науки, может быть задействован в рамках административных мер по обеспечению открытого доступа – системообразующего вектора трансформации науки первой четверти XXI века. Академические социальные сети являются источником «цифровых следов» – массивов данных, которые вследствие высокой скорости накопления, разнообразия и полноты, обладают чрезвычайно высоким эвристическим потенциалом в рамках исследований научной коммуникации, проявляя до настоящего момента не фиксируемые связи «невидимого колледжа». Фактически, новые социальные реалии не только открывают новые возможности, но и позволяют пересмотреть применение классических методов, в частности нереактивной стратегии социального исследования. Помимо «цифровых следов», академические социальные сети также генерируют альтернативные метрики научной коммуникации – так называемые «вебметрики» или «альтметрики». Эти показатели потенциально могут быть применены при разработке и для обеспечения новых механизмов администрирования науки в условиях неолиберальных принципов управления. К сожалению, на сегодняшний день, этот тип цифровых платформ попадает в поле внимания исследователей весьма редко, вследствие чего мы можем говорить о существенном нереализованном эвристическом потенциале социальных исследований платформ данного типа.
Article
Altmetrics has been widely recognized in the evaluation of articles, books, and journals. However, only a few of scholars have focused on author-level metrics which limits the wide application of altmetrics. Moreover, most of the commonly used altmetrics indicators are selected from international platforms, such as Google + , Facebook, and Twitter, which are not widely available to Chinese scholars. It will be biased if these indicators are directly used to evaluate Chinese scholars. This paper aims to construct an indicator system suitable for the evaluation of Chinese scholars based on altmetrics. We investigate representative platforms which are popular in China and similar with the frequently used altmetrics platforms and extract measurements from them. The principal component analysis is applied to reduce the multicollinearity among the selected indicators and objectively calculate their weights in the altmetrics system. Furthermore, the receiver operating characteristic curve is adopted to give evidence that the proposed altmetrics system is non-specific to the Social Sciences and the Natural Sciences, and the correlation analysis between the altmetrics scores and the traditional bibliometric indicators is implemented to verify its applicability to evaluate Chinese scholars.
Article
Purpose This paper aims to explore question and answer (Q&A) participation and behavioral patterns on academic social networking sites (ASNSs) from the perspective of multiple subjects such as academic, corporate and government institutions. Design/methodology/approach Focused on the Q&A service of ASNSs, this study chooses ResearchGate (RG) as the target ASNS and collects a large-scale data set from it, involving a sample of users and a Q&A sample about academic, corporate and government institutions. First, it studies the law of Q&A participation and the distribution of the type of user according to the sample of users. Second, it compares question-asking behavior and question-answering behavior stimulated by questions among the three types of institutions based on the Q&A sample. Finally, it discusses the Q&A participation and behavioral patterns of the three types of institutions in academic Q&A exchanges with full consideration of institutional attributes, and provides some suggestions for institutions and ASNSs. Findings The results show that these three types of institutions generally have a low level of participation in the Q&A service of RG, and the numbers of questions and answers proposed by institutional users conform to the power-law distribution. There are differences in Q&A participation and Q&A behavioral patterns among academic, corporate and government institutions. Government and academic institutions have more users participating in the Q&A service and their users are more willing to ask questions, while corporate institutions have fewer users who participate in the Q&A service and their users are inclined to provide answers. Questions from corporate institutions attract much more attention than those from the other two types of institutions. Originality/value This study reveals and compares the Q&A participation and the behavioral patterns of the three types of institutions in academic Q&A, thus deepening the understanding of the attributes of institutions in the academic information exchange context. In practice, the results can help guide different institutions to use the Q&A service of ASNSs more effectively and help ASNSs to better optimize their Q&A service.
Article
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Academic Social Networking Sites (ASNS) has revolutionized the concept of knowledge sharing and publication pattern in academia. It offers a new paradigm to interrelate research scientists globally, influencing research communities' structure and crescendos (dynamics). This changing trend has attracted considerable attention in the research domain and the consequent impact on library & information science professionals. Due to the high operationalizing ability of these networking sites, it provides online services of collaboration and knowledge sharing. The present study reviewed 23 studies from the past that highlights the methodologies, usage pattern of ASNs, impact on professionals, different categories of services, and issues related to academics and social networking in a researcher's life. This study has implemented the ICA framework, a way forward to conduct meta-analysis studies in LIS, using the two most prominent citation and indexing databases, i.e., 'Scopus' and 'Web of Science'. Moreover, this systematic review formulated four main research categories: Usage, Impact, Services, and Issues related to the ASNS. On further analysis of these four main research categories, eleven sub-categories evolved across four main categories. Finally, at the end of the study, specific suggestions and recommendations are provided for future studies.
Article
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The article examines the research contributions of all Non Agriculture University of Maharashtra State. The data for the study have been extracted from the website of Research Gate.net (www.researchgate.net) for this study during July 2021. It was found that 11 Non Agriculture University in Maharashtra state Members in Non Agriculture Universities have been contributed the research contributions made by Research Gate. Further the data were analyzed to find out the Research Gate RG Scores, Members and Publications of Non Agriculture University Maharashtra State by Department wise, Members, Publications, Research Gate (RG) Scores, and Top of departments along with their members and various types of documents by top ten departments with publications and authors of Non Agriculture University
Article
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The article examines the research contributions of Central Institute of fisheries education Mumbai. The data for the study have been extracted from the website of Research Gate.net (www.researchgate.net) for this study during October 2020. It was ICAR-CIFE india’s first fisheries University Mumbai of India have been contributed the research contributions made by Research Gate. Further the data were analyzed to find out the Research Gate RG Scores, Members and Publications of CIFE Mumbai wise, Members, Publications, Research Gate (RG) Scores, and Top of departments along with their members and various types of documents by top ten departments with publications and authors of IISER.
Chapter
This chapter addresses questions related to the complex relationships between information, data, and human beings, frequently treated as the foundation of information and data ecologies. We focus on issues that have varied interfaces with literacies, but are not literacies in the proper sense of the word. The first part of this chapter focuses on openness, reproducibility, credibility, and sharing of digital data. Attention is given to research data’s Findability, Accessibility, Interoperability, and Reuse. There is also a short discussion of the relationship between research data and copyright. In the second part, data journals and data papers are targeted, and attention is paid to the problems of measuring and evaluating research data. The third part touches on varied issues, such as possible coauthorships between librarians and researchers, research data management, reputation management, information and data overload, posttruth phenomena and the influence of posttruth, as well as the deluge of publications related to the COVID-19 pandemic.
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Background: Social networks are now essential tools for promoting research and researchers. However, there is no study investigating the link between presence or not on professional social networks and scientific publication or citation for a given researcher. Objective: The objective of this study was to study the link between professional presence on social networks and scientific publications/citations among anesthesia researchers. Methods: We included all the French full professors and associate professors of anesthesia. We analyzed their presence on the social networks Twitter (professional account with ≥1 tweet over the 6 previous months) and ResearchGate. We extracted their bibliometric parameters for the 2016-2020 period via the Web of Science Core Collection (Clarivate Analytics) database in the Science Citation Index-Expanded index. Results: A total of 162 researchers were analyzed; 42 (25.9%) had an active Twitter account and 110 (67.9%) a ResearchGate account. There was no difference between associate professors and full professors regarding active presence on Twitter (8/23 [35%] vs. 34/139 [24.5%], respectively; P=.31) or ResearchGate (15/23 [65%] vs. 95/139 [68.3%], respectively; P=.81). Researchers with an active Twitter account (median [IQR]) had more scientific publications (45 [28-61] vs. 26 [12-41]; P<.001), a higher h-index (12 [8-16] vs. 8 [5-11]; P<.001), a higher number of citations per publication (12.54 [9.65-21.8] vs. 10.63 [5.67-16.10]; P=.01), and a higher number of citations (563 [321-896] vs. 263 [105-484]; P<.001). Researchers with a ResearchGate account (median [IQR]) had more scientific publications (33 [17-47] vs. 26 [9-43]; P=.03) and a higher h-index (9 [6-13] vs. 8 [3-11]; P=.03). There was no difference between researchers with a ResearchGate account and those without it concerning the number of citations per publication and overall number of citations. In multivariate analysis including sex, academic status, and presence on social networks, the presence on Twitter was associated with the number of publications (β=20.2; P<.001), the number of citations (β=494.5; P<.001), and the h-index (β=4.5; P<.001). Conclusions: Among French anesthesia researchers, an active presence on Twitter is associated with higher scientific publication and citations.
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Akademik sosyal ağlar bilimsel iletişim sürecinde kendine yer bulan, akademik çalışmaların ve yayınların açık erişim ilkesi doğrultusunda paylaşılmasına ve görünürlüğünün artırılmasına olanak sağlayan, sosyal ağ yapıları ile benzer özellikler taşıyan web siteleridir. 2008 yılında ortaya çıkmaya başlayan akademik sosyal ağlar, araştırmacılar ve akademisyenler tarafından yaygın olarak kullanılmaktadır. Araştırmalar sonucunda dünyada yaygın olarak kullanıldığı tespit edilen akademik sosyal ağlardan ResearchGate ve akademik profil oluşturmaya izin veren bir platform olan Google Scholar Citations hakkında ayrıntılı bilgilere yer verilen bu çalışmada, Türkiye'deki Bilgi ve Belge Yönetimi alanında çalışan 128 akademisyenin bu ağlardaki profil bilgileri incelenmiştir. Buna göre akademisyenlerin %62,5'inin (n=80) ResearchGate profili ve %72,65'inin (n=93) Google Scholar Citations profili bulunmaktadır. Bu iki ağın ortak göstergeleri olan yayın ve atıf sayısı ile h-indeks değerleri karşılaştırılmıştır. ResearchGate profili bulunan akademisyenlerin ResearchGate'e toplam 1.658 yayın yükledikleri, Google Scholar Citations'a ise 4.071 yayın ekledikleri tespit edilmiştir. Akademisyenlerin ResearchGate'teki yayınlarının toplam atıf sayısı 6.580, Google Scholar Citations'ta ise 22.882'dir. Yayın başına düşen atıf sayısı ResearchGate'te 3,96 iken Google Scholar Citations'ta 5,62'dir. ResearchGate'te akademisyenlerin h-indeks ortalaması 2,83 ve Google Scholar Citations'ta 6,02'dir. ResearchGate atıfları ve Google Scholar Citations atıfları ile her iki platformdaki h-indeks değerleri arasında olumlu yönde anlamlı yüksek düzeyde bir korelasyon tespit edilmiştir. Kapsama alınan platformların Bilgi ve Belge Yönetimi bölümleri akademisyenlerince kullanımlarında üniversitelerine, unvanlarına ve cinsiyetlerine göre farklılıklar olduğu sonucuna ulaşılmıştır. Abstract Academic social networking sites are websites that have a place in the scholarly communication process, allow sharing and increasing the visibility of academic studies and publications in line with the open access principle, and have similar features with social network structures. Academic social networking sites, which started to emerge in 2008, are widely used by researchers and academics. This study includes detailed information about ResearchGate, one of the academic social networks found to be widely used in the world as a result of the research, and Google Scholar Citations, a platform that allows academic profile creation. In this study, the profile information of 128 academicians working in the field of Information and Records Management in Turkey was also examined in these networks. In the research, ResearchGate and Google Scholar Citations profile information of 128 academicians were examined. Accordingly, 62.5% (n = 80) of the academicians have a ResearchGate profile and 72.65% (n = 93) have a Google Scholar Citations profile. The common indicators of these two networks,
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The article examines the research contributions of all Deemed University of Maharashtra State. The data for the study have been extracted from the website of Research Gate.net (www.researchgate.net) for this study during July 2021. It was found that 22 Deemed University of Maharashtra state Members in Deemed University have been contributed the research contributions made by Research Gate. Further the data were analyzed to find out the Research Gate RG Scores, Members and Publications of Deemed University of Maharashtra State by Department wise, Members, Publications, Research Gate (RG) Scores, and Top of departments along with their members and various types of documents by top ten departments with publications and authors of Deemed University. Keywords- Research Gate, RG Score
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Bilimsel iletişimin değişen dinamikleri, genel anlamda araştırmacıların özelde akademisyenlerin araştırma yapma, araştırma sonuçlarını yayımlama ve paylaşma gibi bilimsel iletişim süreçlerini değiştirmiştir. Günümüzde akademisyenler görünürlüklerini ve etkinliklerini artırmak, yayınlarını duyurmak ve paylaşmak için sosyal ağları ve akademik sosyal ağları kullanmaktadırlar. Sosyal bir ağa, akademik içeriğin ve akademik faaliyetlerin eklenmesi ile ortaya çıkan akademik sosyal ağlar; araştırmacılara ve akademisyenlere çeşitli yararlar sağlamaktadır. Amaç: Çalışmada, Ankara Üniversitesi akademisyenlerinin akademik sosyal ağlara ilişkin tutumlarını ve akademik sosyal ağlardan ne ölçüde yararlandıklarını ortaya çıkarmak amaçlanmıştır. Yöntem: Nicel bir araştırmaya örnek olan bu çalışmada, tarama (survey) tekniğinden yararlanılarak veriler toplanmıştır. Bulgular: 560 akademisyenin katıldığı anket sonucunda elde edilen bulgulara göre akademisyenlerin %82,7’sinin (463 kişi) akademik sosyal ağları kullandığı belirlenmiştir. En çok tercih edilen akademik sosyal ağların Google Scholar, ResearchGate ve Academia.edu olduğu tespit edilmiştir. Akademisyenler, akademik sosyal ağları en çok alanlarıyla ilgili yayınları ve yenilikleri takip etmek ve akademik çalışmaları paylaşmak için kullanmaktadırlar. Akademisyenlerin akademik sosyal ağ kullanım durumlarının cinsiyet ve unvan değişkenlerine göre büyük ölçüde benzerlik gösterdiği fakat fakültelerine ve yaş gruplarına göre anlamlı düzeyde farklılaştığı tespit edilmiştir. Sonuç: Ankara Üniversitesi akademisyenlerinin çoğunluğunun akademik sosyal ağları kullandığı ve dolayısıyla akademisyenlerin akademik sosyal ağlar konusunda farkındalığının olduğu sonucuna ulaşılmıştır. Ancak akademisyenler düzenli kullanım sağlamada, geri bildirimleri takip etmede ve yayın isteklerini karşılamada zorlanmaktadırlar. Özgünlük: Uluslararası literatürde akademik sosyal ağlar ve yararlarının araştırıldığı pek çok çalışma bulunmaktadır. Fakat yerel literatür incelendiğinde akademik sosyal ağları ele alan sınırlı sayıda çalışma olduğu tespit edilmiştir. Bu açıdan yapılan araştırma, özgün ve yerel literatürde konuyu tartışması açısından önemli bir çalışmadır.
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Bilimsel iletişimin değişen dinamikleri, genel anlamda araştırmacıların özelde akademisyenlerin araştırma yapma, araştırma sonuçlarını yayımlama ve paylaşma gibi bilimsel iletişim süreçlerini değiştirmiştir. Günümüzde akademisyenler görünürlüklerini ve etkinliklerini artırmak, yayınlarını duyurmak ve paylaşmak için sosyal ağları ve akademik sosyal ağları kullanmaktadırlar. Sosyal bir ağa, akademik içeriğin ve akademik faaliyetlerin eklenmesi ile ortaya çıkan akademik sosyal ağlar; araştırmacılara ve akademisyenlere çeşitli yararlar sağlamaktadır. Amaç: Çalışmada, Ankara Üniversitesi akademisyenlerinin akademik sosyal ağlara ilişkin tutumlarını ve akademik sosyal ağlardan ne ölçüde yararlandıklarını ortaya çıkarmak amaçlanmıştır. Yöntem: Nicel bir araştırmaya örnek olan bu çalışmada, tarama (survey) tekniğinden yararlanılarak veriler toplanmıştır. Bulgular: 560 akademisyenin katıldığı anket sonucunda elde edilen bulgulara göre akademisyenlerin %82,7’sinin (463 kişi) akademik sosyal ağları kullandığı belirlenmiştir. En çok tercih edilen akademik sosyal ağların Google Scholar, ResearchGate ve Academia.edu olduğu tespit edilmiştir. Akademisyenler, akademik sosyal ağları en çok alanlarıyla ilgili yayınları ve yenilikleri takip etmek ve akademik çalışmaları paylaşmak için kullanmaktadırlar. Akademisyenlerin akademik sosyal ağ kullanım durumlarının cinsiyet ve unvan değişkenlerine göre büyük ölçüde benzerlik gösterdiği fakat fakültelerine ve yaş gruplarına göre anlamlı düzeyde farklılaştığı tespit edilmiştir. Sonuç: Ankara Üniversitesi akademisyenlerinin çoğunluğunun akademik sosyal ağları kullandığı ve dolayısıyla akademisyenlerin akademik sosyal ağlar konusunda farkındalığının olduğu sonucuna ulaşılmıştır. Ancak akademisyenler düzenli kullanım sağlamada, geri bildirimleri takip etmede ve yayın isteklerini karşılamada zorlanmaktadırlar. Özgünlük: Uluslararası literatürde akademik sosyal ağlar ve yararlarının araştırıldığı pek çok çalışma bulunmaktadır. Fakat yerel literatür incelendiğinde akademik sosyal ağları ele alan sınırlı sayıda çalışma olduğu tespit edilmiştir. Bu açıdan yapılan araştırma, özgün ve yerel literatürde konuyu tartışması açısından önemli bir çalışmadır.
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The article examines the research contributions of University of Mumbai, Mumbai in Maharashtra. The data for the study have been extracted from the website of Research Gate.net (www.researchgate.net) for this study during April 2021. It was found that 2437 Members in Mumbai Universities have been contributed the research contributions made by Research Gate. Further the data were analyzed to find out the Research Gate RG Scores, Members and Publications of University Mumbai by Department wise, Members, Publications, Research Gate (RG) Scores, and Top of departments along with their members and various types of documents by top ten departments with publications and authors of University of Mumbai.
Thesis
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Bilimsel iletişimde akademisyenlerin görünürlük ve etkinliğinin değerlendirilmesi söz konusu olduğunda, mevcut değerlendirme ölçütlerine (geleneksel metrikler) günümüzde alternatif olarak ortaya çıkan ve sosyal etkinin boyutlarının ölçülmesini sağlayan altmetri (yeni nesil metrikler) alanı eşlik etmeye başlamıştır. Bu bağlamda çalışmanın konusunu, altmetri alanı ile altmetrik göstergeleri kullanan, bilimsel iletişime yeni bir boyut kazandıran akademik sosyal ağlar oluşturmaktadır. Bu çalışmada, altmetri ve altmetrik göstergeler açıklanmış, geleneksel metrikler ile altmetri ilişkisinin ortaya çıkarılması için bu göstergelerin karşılaştırılması yapılmıştır. Bu doğrultuda, Akademik Sosyal Ağ (ASA)'ların incelendiği çalışmada, bu ağların özellikleri ve yararları betimlenerek Ankara Üniversitesi (AÜ) akademisyenlerinin ASA kullanım düzeyleri, hangi ASA'ları kullanmakta oldukları ve bu ağları hangi amaçlar için kullandıkları gibi durumların tespit edilmesi hedeflenmiştir. Bu amaçlar doğrultusunda; araştırmada ilk olarak AÜ akademisyenlerinin ASA'ları kullanma düzeylerini belirlemek ve bu konuda farkındalık yaratmak için anket tekniğinden yararlanılmıştır. Anket uygulamasında; araştırma evrenini 3.164 akademisyen oluşturmaktadır. Asgari örneklem büyüklüğü ise 362 katılımcı olarak hesaplanmıştır. Anketi 560 akademisyen yanıtlamış olup bu örneklem büyüklüğünün araştırmanın evrenini oldukça yüksek düzeyde temsil ettiği ifade edilebilir. Uygulanan ankete ek olarak akademisyenlerin, ASA'lardan biri olan ResearchGate'i (RG) kullanım durumları ve platformun sunduğu hizmetleri kullanma oranları incelenmiştir. Son olarak RG atıf göstergesi ile altmetrik göstergelerinin korelasyon analizleri ve Scopus veri tabanından AÜ dokümanlarına ilişkin elde edilen atıflar ile altmetrik göstergeler arasında çeşitli korelasyon çalışmaları yapılmıştır. Uygulanan anket sonucunda AÜ akademisyenlerinin ASA'lara ilişkin tespit edilen tutumları aşağıda sunulmuştur: • AÜ akademisyenlerinin büyük çoğunluğunun ASA'ları kullandığı ve sırasıyla Google Scholar, RG ve Academia.edu ASA'larının en fazla oranda kullanıldığı tespit edilmiştir. • Akademisyenlerin ASA'ları en çok "Alanlarıyla ilgili yayınları takip etmek, Alanla ilgili yenilikleri takip etmek ve Akademik çalışmaları paylaşmak" amaçları için kullandıkları görülmektedir. • AÜ akademisyenleri altmetrik göstergelerden okunma sayısı ve indirilme sayılarını önemli olarak gördüklerini belirtmektedirler. Ancak geleneksel göstergelerden atıf sayıları akademisyenler için önem derecesi en yüksek gösterge olarak tespit edilmiştir. • Akademisyenlerin ASA'ları kullanmama nedenlerinin başında ise sırasıyla "ASA'lar hakkında bilgim yok ve ASA'ları kullanmam için bir zorunluluk bulunmuyor" nedenleri gelmektedir. • Akademisyenlerin ASA kullanım tercihleri unvanları bakımından büyük ölçüde benzerlik göstermektedir. ASA kullanımlarında yaşlara göre anlamlı fark bulunurken unvanlara göre bulunmamaktadır. • Akademisyenlerin ASA'ları kullanım durumlarının fakültelerine göre anlamlı düzeyde farklılaştığı tespit edilmiştir. ASA'ların kullanımına ilişkin ortaya çıkarılan bu sonuçlar ile "Görünürlük ve etkinin arttırılması ve değerlendirilmesinde ASA'lar incelendiğinde, AÜ akademisyenleri, çalışma alanlarına (sosyal ve beşeri bilimler, temel bilimler vb. alanlarda) göre ASA'ların kullanımı konusunda farklı davranışlara sahiptirler." şeklinde belirlenen temel hipotezlerden biri doğrulanmıştır. RG platformunda gerçekleştirilen analizlerde; sayısal/pozitif bilimler araştırmacılarının (Tıp, Mühendislik, Fen ve Veteriner Fakülteleri ve diğerleri) RG'de AÜ'yü daha fazla temsil ettiği ve AÜ üyelerinin %40'ının RG'yi aktif olarak kullanmadığı, sadece profil oluşturduğu ortaya çıkarılmıştır. RG göstergeleri üzerinden gerçekleştirilen korelasyon analizleri sonuçlarına göre atıf sayısı ile okunma sayısı (r = 0,482, p<0,01), Toplam Araştırma İlgi puanı (r = 0,950, p<0,01), takipçi sayısı (r = 0,371, p<0,01), yüklenen doküman sayısı (r = 0,492, p<0,01) ve RG Puanı (r = 0,438, p<0,01) arasında olumlu yönde anlamlı korelasyon olduğu tespit edilmiştir. Scopus göstergeleri (Scopus atıfları ve PlumX metrikleri) üzerinden yapılan korelasyon analizi sonuçlarına göre, atıf sayısı ile Mendeley okuyucu sayısı (rho = 0,609, p<0,01), tam metin görüntülenme sayısı (rho = 0,090, p<0,01) ve Tweet sayısı (rho = 0,262, p<0,01) arasında olumlu yönde anlamlı korelasyon olduğu tespit edilmiştir. Böylelikle her iki platformda da atıf göstergesi ile altmetrik göstergeler arasında olumlu ve anlamlı ilişkiler olduğu tespit edilmiştir. Bu bağlamda, "ASA'lar ve diğer iletişim ortamlarının gelişmesiyle beraber, bilimsel iletişimde akademisyenlerin ve bilimsel çıktılarının görünürlüğünün ve etkisinin belirlenmesinde altmetri olarak adlandırılan ve sosyal etkiyi ölçen araç ve yöntemler geleneksel metrikleri tamamlayıcı bir nitelik taşımaktadır." şeklinde oluşturulan araştırmanın temel hipotezlerinden ikincisi de doğrulanmıştır. İlgili literatür ve elde edilen bulgulara dayalı olarak, çalışma kapsamında ulusal araştırma ağını tek bir platformda oluşturmaya ve geliştirmeye yönelik TR Dizin Ulusal Araştırma Çevresi Modeli (TR Akademi) tasarlanmıştır. Tasarlanan modelde ULAKBİM tarafından oluşturulan TR Dizin'in altmetrik verileri sistemine entegre etmesi ve ASA özelliklerini barındırması yönünde çeşitli öneriler sunulmaktadır.
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Publications of research conducted during short-term research education training programs serve as an outcome measure for students’ successes and a program’s value. We compared the impact of cancer publications from research conducted during a short-term cancer research education training program, to publications by program participants in the years following completion of the training program and earning an academic or professional degree. Bibliometrics and altmetrics from NIH, ResearchGate, Google Scholar and Scopus® that measure publication impact were collected on cancer publications by student interns in the CaRES (Cancer Research Experiences for Students) R25 program from 1999 to 2017; and on cancer publications in subsequent years by program alumni (students who completed CaRES). Publication characteristics and impact measures were described and compared. Of 558 publications, 206 (37%) were related to CaRES internship projects and 352 (63%) related to any cancer research in which program alumni engaged following their internships. CaRES project publications were cited more frequently and held a higher research interest score than later cancer publications by CaRES alumni but appeared in journals having lower impact factors (p < 0.05). A higher proportion of alumni were first authors of their publications as compared to first authorship by interns (p = 0.02). Research conducted during short-term cancer research programs can be scientifically meaningful and of comparable quality to publications by program alumni who engage in cancer research careers.
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Expert finding consists in the identification of a set of individuals who are considered to be experts in a particular topic. This is an essential problem in the academic world. Indeed, it is constantly necessary to identify suitable researchers when setting up reading or evaluation committees for research projects, for example. Indeed, it is particularly useful to automatically identify experts on a specific field from the scientific literature. We suggest an approach for knowledge discovery and enrichment based on a semantic annotation of scientific articles, on their representation in the form of scientific collaboration networks and their exploration using a graph abstraction method. This method makes it possible to focus on dense areas of networks and to discover experts and their associated expertise using connectivity constraints. The latter make it possible to take into account a validation by peers, materialized by the density of scientific collaboration relations that individuals maintain with each other. We test our approach on a corpus of scientific publications, propose an original method for evaluating our results and compare our performance to expert research methods implemented in the LT ExpertFinder evaluation framework. We obtain better performance than the state of the art and discover that the most decisive indicators of expertise are the writing of highly cited articles but also the ability to cite the appropriate scientific literature.
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Changes are occurring in scholarly communication and the geogra-phy of science. Policymakers and research funding agencies are looking for ways to measure the comprehensive impact of research and benefit from the re-search experiences of other nations. Recently, altmetrics have been used to measure broader impact of research activities. In this paper, we study altmetrics based on the country-level impact and find that altmetrics can support research evaluation for all countries studied. We compare altmetrics with several tradi-tional metrics and find significant relationships between country-level alt-metrics and the number of publications, citations, h-index, and gross domestic expenditure on research and development (GERD). We also find a significant yearly increase in the number of articles published between 2010 and 2014 that received altmetrics.
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This study explores the connections between social and usage metrics (altmetrics) and bibliometric indicators at the author level. It studies to what extent these indicators, gained from academic sites, can provide a proxy for research impact. Close to 10,000 author profiles belonging to the Spanish National Research Council were extracted from the principal scholarly social sites: ResearchGate, Academia.edu and Mendeley and academic search engines: Microsoft Academic Search and Google Scholar Citations. Results describe little overlapping between sites because most of the researchers only manage one profile (72%). Correlations point out that there is scant relationship between altmetric and bibliometric indicators at author level. This is due to the almetric ones are site-dependent, while the bibliometric ones are more stable across web sites. It is concluded that altmetrics could reflect an alternative dimension of the research performance, close, perhaps, to science popularization and networking abilities, but far from citation impact.
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Academics can now use the web and the social websites to disseminate scholarly information in a variety of different ways. Although some scholars have taken advantage of these new online opportunities, it is not clear how widespread their uptake is or how much impact they can have. This study assesses the extent to which successful scientists have social web presences, focusing on one influential group: highly cited researchers working at European institutions. It also assesses the impact of these presences. We manually and systematically identified if the European highly cited researchers had profiles in Google Scholar, Microsoft Academic Search, Mendeley, Academia and LinkedIn or any content in SlideShare. We then used URL mentions and altmetric indicators to assess the impact of the web presences found. Although most of the scientists had an institutional website of some kind, few had created a profile in any social website investigated, and LinkedIn - the only non-academic site in the list - was the most popular. Scientists having one kind of social web profile were more likely to have another in many cases, especially in the life sciences and engineering. In most cases it was possible to estimate the relative impact of the profiles using a readily available statistic and there were disciplinary differences in the impact of the different kinds of profiles. Most social web profiles had some evidence of uptake, if not impact; nevertheless, the value of the indicators used is unclear.
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ResearchGate is a social network site for academics to create their own profiles, list their publications and interact with each other. Like Academia.edu, it provides a new way for scholars to disseminate their publications and hence potentially changes the dynamics of informal scholarly communication. This article assesses whether ResearchGate usage and publication data broadly reflect existing academic hierarchies and whether individual countries are set to benefit or lose out from the site. The results show that rankings based on ResearchGate statistics correlate moderately well with other rankings of academic institutions, suggesting that ResearchGate use broadly reflects traditional academic capital. Moreover, while Brazil, India and some other countries seem to be disproportionately taking advantage of ResearchGate, academics in China, South Korea and Russia may be missing opportunities to use ResearchGate to maximise the academic impact of their publications.
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This paper investigates whether CiteULike and Mendeley are useful for measuring scholarly influence, using a sample of 1,613 papers published in Nature and Science in 2007. Traditional citation counts from the Web of Science (WoS) were used as benchmarks to compare with the number of users who bookmarked the articles in one of the two free online reference manager sites. Statistically significant correlations were found between the user counts and the corresponding WoS citation counts, suggesting that this type of influence is related in some way to traditional citation-based scholarly impact but the number of users of these systems seems to be still too small for them to challenge traditional citation indexes.
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Altmetrics, indices based on social media platforms and tools, have recently emerged as alternative means of measuring scholarly impact. Such indices assume that scholars in fact populate online social environments, and interact with scholarly products there. We tested this assumption by examining the use and coverage of social media environments amongst a sample of bibliometricians. As expected, coverage varied: 82% of articles published by sampled bibliometricians were included in Mendeley libraries, while only 28% were included in CiteULike. Mendeley bookmarking was moderately correlated (.45) with Scopus citation. Over half of respondents asserted that social media tools were affecting their professional lives, although uptake of online tools varied widely. 68% of those surveyed had LinkedIn accounts, while Academia.edu, Mendeley, and ResearchGate each claimed a fifth of respondents. Nearly half of those responding had Twitter accounts, which they used both personally and professionally. Surveyed bibliometricians had mixed opinions on altmetrics' potential; 72% valued download counts, while a third saw potential in tracking articles' influence in blogs, Wikipedia, reference managers, and social media. Altogether, these findings suggest that some online tools are seeing substantial use by bibliometricians, and that they present a potentially valuable source of impact data.
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Online communities are becoming an accepted part of the lives of Internet users, although participation in these communities is dependent on the types of people that form them. Some of the online community’s members do not participate, people referred to as lurkers, whereas others who have been in the community for a long time, referred to as elders, participate regularly and support others. Understanding what drives these individuals and how they chose whether or not to participate will lead to online communities that thrive. This paper proposes a conceptual framework to describe what drives such individuals to carry out actions such as posting messages and adding content (level 1), the cognitions they use to determine whether or not to take such actions (level 2) and the means by which they go about carrying out the action in the environment (level 3). Finally, the framework is applied to the problem of encouraging members to participate by discussing the methods by which people can be persuaded to participate by changing the way they interpret their desires and their environment.
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Recently there is increasing interest in university rankings. Annual rankings of world universities are published by QS for the Times Higher Education Supplement, the Shanghai Jiao Tong University, the Higher Education and Accreditation Council of Taiwan and rankings based on Web visibility by the Cybermetrics Lab at CSIC. In this paper we compare the rankings using a set of similarity measures. For the rankings that are being published for a number of years we also examine longitudinal patterns. The rankings limited to European universities are compared to the ranking of the Centre for Science and Technology Studies at Leiden University. The findings show that there are reasonable similarities between the rankings, even though each applies a different methodology. The biggest differences are between the rankings provided by the QS-Times Higher Education Supplement and the Ranking Web of the CSIC Cybermetrics Lab. The highest similarities were observed between the Taiwanese and the Leiden rankings from European universities. Overall the similarities are increased when the comparison is limited to the European universities.
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In this note some new fields of application of Hirsch-related statistics are presented. Furthermore, so far unrevealed properties of the h-index are analysed in the context of rank-frequency and extreme-value statistics.
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How does one measure the quality of science? The question is not rhetorical; it is extremely relevant to promotion committees, funding agencies, national academies and politicians, all of whom need a means by which to recognize and reward good research and good researchers. Identifying high‐quality science is necessary for science to progress, but measuring quality becomes even more important in a time when individual scientists and entire research fields increasingly compete for limited amounts of money. The most obvious measure available is the bibliographic record of a scientist or research institute—that is, the number and impact of their publications. > Identifying high‐quality science is necessary for science to progress… Currently, the tool most widely used to determine the quality of scientific publications is the journal impact factor (IF), which is calculated by the scientific division of Thomson Reuters (New York, NY, USA) and is published annually in the Journal Citation Reports (JCR). The IF itself was developed in the 1960s by Eugene Garfield and Irving H. Sher, who were concerned that simply counting the number of articles a journal published in any given year would miss out small but influential journals in their Science Citation Index (Garfield, 2006). The IF is the average number of times articles from the journal published in the past two years have been cited in the JCR year and is calculated by dividing the number of citations in the JCR year—for example, 2007—by the total number of articles published in the two previous years—2005 and 2006. Owing to the availability and utility of the IF, promotion committees, funding agencies and scientists have taken to using it as a shorthand assessment of the quality of scientists or institutions, rather than only journals. As Garfield has noted, this use of the IF is often necessary, owing to time …
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Social media has become mainstream in recent years, and its adoption has skyrocketed. Following this trend among the general public, scholars are also increasingly adopting these tools for their professional work. The current study seeks to learn if, why and how scholars are using social media for communication and information dissemination, as well as validate and update the results of previous scholarship in this area. The study is based on the content analysis of 51 semi-structured interviews of scholars in the Information Science and Technology field. Unlike previous studies, the current work aims not only to highlight the specific social media tools used, but also discover factors that influence intention and use of social media by scholars. To achieve this, the paper uses the Unified Theory of Acceptance and Use of Technology (UTAUT), a widely adopted technology acceptance theory. This paper contributes new knowledge to methodological discussions as it is the first known study to employ UTAUT to interpret scholarly use of social media. It also offers recommendations about how UTAUT can be expanded to better fit examinations of social media use within scholarly practices.
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Although there is evidence that counting the readers of an article in the social reference site, Mendeley, may help to capture its research impact, the extent to which this is true for different scientific fields is unknown. This study compares Mendeley readership counts with citations for different social sciences and humanities disciplines. The overall correlation between Mendeley readership counts and citations for the social sciences was higher than for the humanities. Low and medium correlations between Mendeley bookmarks and citation counts in all the investigated disciplines suggest that these measures reflect different aspects of research impact. Mendeley data was also used to discover patterns of information flow between scientific fields. Comparing information flows based on Mendeley bookmarking data and cross disciplinary citation analysis for the disciplines revealed substantial similarities and some differences. Thus, the evidence from this study suggests that Mendeley readership data could be used to help capture knowledge transfer across scientific disciplines, especially for people that read but do not author articles, as well as giving impact evidence at an earlier stage than is possible with citation counts.
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Scholarly communication is undergoing transformation under the confluence of many forces. The purpose of this article is to explore trends in transforming scholarly publishing and their implications. It examines how collaboration and volume of information production were changed over the past century. It also explores how older documents are used under today’s network environment where new information is easily accessible. Understanding these trends would help us design more effective electronic scholarly publishing systems and digital libraries, and serve the needs of scholars more responsively.
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In growing numbers, scholars are integrating social media tools like blogs, Twitter, and Mendeley into their professional communications. The online, public nature of these tools exposes and reifies scholarly processes once hidden and ephemeral. Metrics based on this activities could inform broader, faster measures of impact, complementing traditional citation metrics. This study explores the properties of these social media-based metrics or "altmetrics", sampling 24,331 articles published by the Public Library of Science. We find that that different indicators vary greatly in activity. Around 5% of sampled articles are cited in Wikipedia, while close to 80% have been included in at least one Mendeley library. There is, however, an encouraging diversity; a quarter of articles have nonzero data from five or more different sources. Correlation and factor analysis suggest citation and altmetrics indicators track related but distinct impacts, with neither able to describe the complete picture of scholarly use alone. There are moderate correlations between Mendeley and Web of Science citation, but many altmetric indicators seem to measure impact mostly orthogonal to citation. Articles cluster in ways that suggest five different impact "flavors", capturing impacts of different types on different audiences; for instance, some articles may be heavily read and saved by scholars but seldom cited. Together, these findings encourage more research into altmetrics as complements to traditional citation measures.
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Although administrators of online communities (OCs) may focus on improving their OCs through upgrading technology and enhancing the usability of their OCs to attract additional users, the level of OC participation may be associated with social motives. The purpose of this study is to understand how social motivations (that is, network externalities and social norms) affect members committed to OCs. This study tests the hypotheses on data collected from 396 undergraduate students. Data analyses show that network externalities and social norms directly influence social interaction ties, which subsequently results in commitment toward a community. Social norms also directly influence relationship commitments to a community. The results provide insights into how social motivations lead to commitment to an OC, reminding OC administrators to encourage member commitment to the OC from the perspective of social motivations.
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SciVal Experts is a resource for finding experts and fostering collaboration. The tool creates researcher profiles with automatically updated publication and grant information and faculty-inputted curriculum vitae, more fully capturing a researcher's body of work. SciVal Experts indexes campus-based "experts" by research topic, allowing faculty to find potential research partners and mentors, furthering translational research opportunities and dissemination of knowledge.
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Bibliometrics is a set of mathematical and statistical methods used to analyze and measure the quantity and quality of books, articles, and other forms of publications. There are three types of bibliometric indicators: quantity indicators, which measure the productivity of a particular researcher; quality indicators, which measure the quality (or "performance") of a researcher's output; and structural indicators, which measure connections between publications, authors, and areas of research. Bibliometric indicators are especially important for researchers and organizations, as these measurements are often used in funding decisions, appointments, and promotions of researchers. As more and more scientific discoveries occur and published research results are read and then quoted by other researchers, bibliometric indicators are becoming increasingly important. This article provides an overview of the currently used bibliometric indicators and summarizes the critical elements and characteristics one should be aware of when evaluating the quantity and quality of scientific output.
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Evaluating scientific quality is a notoriously difficult problem which has no standard solution. Ideally, published scientific results should be scrutinised by true experts in the field and given scores for quality and quantity according to established rules. In practice, however, what is called peer review is usually performed by committees with general competence rather than with the specialist's insight that is needed to assess primary research data. Committees tend, therefore, to resort to secondary criteria like crude publication counts, journal prestige, the reputation of authors and institutions, and estimated importance and relevance of the research field,1 making peer review as much of a lottery as of a rational process.2 3 On this background, it is hardly surprising that alternative methods for evaluating research are being sought, such as citation rates and journal impact factors, which seem to be quantitative and objective indicators directly related to published science. The citation data are obtained from a database produced by the Institute for Scientific Information (ISI) in Philadelphia, which continuously records scientific citations as represented by the reference lists of articles from a large number of the world's scientific journals. The references are rearranged in the database to show how many times each publication has been cited within a certain period, and by whom, and the results are published as the Science Citation Index (SCI) . On the basis of the Science Citation Index and authors' publication lists, the annual citation rate of papers by a scientific author or research group can thus be calculated. Similarly, the citation rate of a scientific journal—known as the journal impact factor—can be calculated as the mean citation rate of all the articles contained in the journal.4 Journal impact factors, which are published annually in SCI Journal Citation Reports , are widely regarded as …
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I propose the index h, defined as the number of papers with citation number ≥h, as a useful index to characterize the scientific output of a researcher. • citations • impact • unbiased
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I first mentioned the idea of an impact factor in Science in 1955.¹ With support from the National Institutes of Health, the experimental Genetics Citation Index was published, and that led to the 1961 publication of the Science Citation Index.² Irving H. Sher and I created the journal impact factor to help select additional source journals. To do this we simply re-sorted the author citation index into the journal citation index. From this simple exercise, we learned that initially a core group of large and highly cited journals needed to be covered in the new Science Citation Index (SCI). Consider that, in 2004, the Journal of Biological Chemistry published 6500 articles, whereas articles from the Proceedings of the National Academy of Sciences were cited more than 300 000 times that year. Smaller journals might not be selected if we rely solely on publication count,³ so we created the journal impact factor (JIF).
SciVal metrics guidebook
  • L Colledge
  • R Verlinde
Colledge, L., & Verlinde, R. (2014, February). SciVal metrics guidebook. Retrieved March 16, 2015, from https://www.elsevier.com/__data/assets/pdf_file/0020/ 53327/scival-metrics-guidebook-v1_01-february2014.pdf.
How Ijad Madisch aims to disrupt science research with a social network
  • K A Dolan
Dolan, K. A. (2012). How Ijad Madisch aims to disrupt science research with a social network. Lists. Forbes. Retrieved from. http://www.forbes.com/sites/ kerryadolan/2012/07/19/how-ijad-madisch-aims-to-disrupt-science-researchwith-a-social-network/.
Celebrating seven million members and seven years of ResearchGate
  • Researchgate
ResearchGate. (2015, March 10). Celebrating seven million members and seven years of ResearchGate. Retrieved from https://explore.researchgate.net/display/ news/2015/05/22/.