Article

Effects of International Collaboration and Knowledge Moderation on China ’s Nanotechnology Research Impacts

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Abstract

Purpose Recent studies report that China is becoming a leading nation in the quantity of scientific output, including in the emerging field of nanotechnology. In nanotechnology, bibliometric measures based on citations also indicate improvements in the research impacts of Chinese scientific papers. The purpose of this paper is to examine the effects of international collaboration, including the role of knowledge moderation through Chinese researchers who collaborate in both domestic and international scientific cooperation, on the impacts of Chinese nanotechnology research publications. Design/methodology/approach Using a nanotechnology publication dataset, bibliometric analysis and statistical testing are adopted to explore the issues raised in the study. Findings International collaboration, through direct collaboration and indirectly through Chinese knowledge moderators, has a positive impact on the quality of Chinese research, controlling for language, discipline, research capacity, and other factors. Originality/value The concept of a Chinese knowledge moderator is introduced to identify Chinese researchers who bridge scientific worlds by publishing scientific papers with both domestic and international colleagues. This concept is operationalized to capture the indirect impacts in China of international knowledge linkages and spillovers including those associated with overseas Chinese researchers and with overseas returnees.

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I assess competing arguments on the determinants of scientists' citation patterns by developing a new approach to the multivariate study of citations that builds upon a network-analytic model. Using data on articles about celestial masers, an astrophysics research area, logistic regressions with robust standard errors examine the extent to which characteristics of both potentially citing and potentially cited papers influence the probability that a citation exists between the papers. The results identify significant positive, effects of cited article cognitive content and cited article quality, providing support for a normative interpretation of the allocation of citations in which citations reflect payment of intellectual debt. In contrast, indicators of an author's position within the stratification structure of science fail to significantly improve the fit of the model, and thus provide no support for the social constructivist claim that citations are rhetorical tools of persuasion. Furthermore, the lack of effects of social ties between citing and cited authors provides little support for the argument that authors who know one another are more likely to cite one another's work. Overall, these results suggest that authors are likely to cite those articles most relevant to their work in terms of intellectual content, and seem little concerned with the characteristics of authors who write them.
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Various bibliometric studies report that multiinstitutional or multinational authored papers are more frequently cited than papers that come from a single institute. The conclusion, however, that there is a systematic improvement of scientific success by cooperation on every level of scientific research in leading or mediocre research institutes might be misleading: In a citation analysis of 13 well-known research institutes in molecular biology there was no difference in the average citations per paper with regard to cooperations. In a subsample of 7 German institutes that difference found could be explained by selfcitations. In another case, all articles of a two year sample of an excellent journal in molecular biology, the EMBO-Journal, the same phenomenon could be observed: Differences in the average citations per article with regard to cooperations could be explained by selfcitations.
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The institution of university science research has evolved over the past century, from one of open science and free information to one of competition and jealously guarded intellectual property rights. This iBrief analyzes the background factors driving the evolution of the institution of science, evaluates the net effects on the progress of science, and considers potential short-term solutions to alleviate the legal transaction costs necessary for scientific collaboration.
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The study reports an empirical comparison of quality of collaborative research with the quality of individual research. Quality of a paper is measured by the citation rate over the four years following the year of publication. Papers published in fourteen Finance journals between 1987–1991 are sampled. There is no significant difference between the quality of collaborative and individual research. Decision-makers should hesitate in interpreting collaborative research as a definitive sign of ability to produce better research.
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lnternational collaborative behaviour among scientists is investigated by examining international co-authorship patterns for a number of scientific fields using the 1973 Science Citation Index. Three major findings emerge: (1) the more basic the field, the greater the proportion of international co-authorships; (2) the larger the national scientific enterprise, the smaller the proportion of international co-authorship; (3) international co-authorships occur along clearly discernible geographic lines, suggesting that extra-scientific factors (for example, geography, politics, language) play a strong role in determining who collaborates with whom in the international scientific community.
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This article outlines the mechanism by which brokerage provides social capital. Opinion and behavior are more homogeneous within than between groups, so people connected across groups are more familiar with alternative ways of thinking and behaving. Brokerage across the structural holes between groups provides a vision of options otherwise unseen, which is the mechanism by which brokerage becomes social capital. I review evidence consistent with the hypothesis, then look at the networks around managers in a large American electronics company. The organization is rife with structural holes, and brokerage has its expected correlates. Compensation, positive performance evaluations, promotions, and good ideas are disproportionately in the hands of people whose networks span structural holes. The between-group brokers are more likely to express ideas, less likely to have ideas dismissed, and more likely to have ideas evaluated as valuable. I close with implications for creativity and structural change.
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This paper examines the relationship between the social capital and knowledge creation in research, mostly in the context of universities. The analysis is developed considering all of the following critical aspects of social capital: direct ties, strengths of direct ties, density, structural holes, centrality, and external-internal index in terms of fields of knowledge. Two important results arise from this research. First, the overall results suggest that, when controlling for other network variables and individual heterogeneity, the effects of the structural holes variable disappear. This result stands in contrast to the established idea that structural holes is the most important variable to represent social capital and, therefore, is seen as contributing to superior performance. Second, the results show that with this strong set of controls, what matters in social capital is having many direct ties, being in a central position, having partners from different areas of knowledge, and being part of a non dense network.
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Collaboration practices and partners vary greatly per scientific area and discipline and influence the scientific performance. Bibliometric indicators are used to analyse international, domestic and local collaboration in publications of Spanish authors in three Biomedical subfields: Neurosciences, Gastroenterology and Cardiovascular System as covered by theSCI database. Team size, visibility and basic-applied level of research were analysed according to collaboration scope. International collaboration was linked to higher visibility documents. Cluster analysis of the most productive authors and centres provides a description, of collaboration habits and actors in the three subfields. A positive correlation was found between productivity and international and domestic collaboration at the author level.
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This paper examines a number of the criticisms that citation analysis has been subjected to over the years. It is argued that many of these criticisms have been based on only limited examinations of data in particular contexts and it remains unclear how broadly applicable these problems are to research conducted at different levels of analysis, in specific field, and among various national data sets. Relevant evidence is provided from analysis of Australian and international data. Citation analysis is likely to be most reliable when data is aggregated and at the highly-cited end of the distribution. It is possible to make valid inferences about individual cases, although considerable caution should be used. Bibliometric measures should be viewed as a useful supplement to other research evaluation measures rather than as a replacement.
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The following kinds of data were collected on three samples of cancer research literature representing three levels of quality: (1) collaboration as measured by the number of authors per paper, (2) quantitative productivity of countries, (3) diachronous citations covering the first five years of publication, (4) total self-citations, (5) proportions of self-citations made by first-named authors, and (6) the extent of dispersion of articles among journals. Analyses showed that as the number of authors per paper increases, the proportion of high quality papers also increases and the Collaborative Index can be used to measure quality in the aggregate. It was found that the quantity and quality of cancer research done in a country are positively related. All analyses of the citation data confirmed the hypotheses that highly rated papers are significantly more highly cited than average papers and the rates of uncitedness decline with quality. The proportion of self-citations to total citations decreases with increasing quality and, on average, first-named authors of quality papers cite them proportionally fewer times than first-named authors of run-of-the mill papers do. This study also shows that, as quality increases, the extent of literature scatter or dispersion increases.
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This paper explores recent trends in the size of scientific teams and in institutional collaborations. The data derive from 2.4 million scientific papers written in 110 top U.S. research universities over the period 1981–1999. The top 110 account for a large share of published basic research conducted in the U.S. during this time.We measure team size by the number of authors on a scientific paper. Using this measure we find that team size increases by 50% over the 19-year period. We supplement team size with measures of domestic and foreign institutional collaborations, which capture the geographic dispersion of team workers. The time series evidence suggests that the trend towards more geographically dispersed scientific teams accelerates beginning with papers published at the start of the 1990s. This acceleration suggests a sharp decline in the cost of collaboration. Our hypothesis is that the decline is due to the deployment of the National Science Foundation's NSFNET and its connection to networks in Europe and Japan after 1987.Using a panel of top university departments we also find that private universities and departments whose scientists have earned prestigious awards participate in larger teams, as do departments that have larger amounts of federal funding. Placement of former graduate students is a key determinant of institutional collaborations, especially collaborations with firms and with foreign scientific institutions. Finally, the evidence suggests that scientific output and influence increase with team size and that influence rises along with institutional collaborations. Since increasing team size implies an increase in the division of labor, these results suggest that scientific productivity increases with the scientific division of labor.
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The Institute for Scientific Information (ISI) publishes annu- ally listings of impact factors of scientific journals, based upon data extracted from the Science Citation Index (SCI). The impact factor of a journal is defined as the average number of citations given in a specific year to documents published in that journal in the two preceding years, di- vided by the number of "citable" documents published in that journal in those 2 years. This article presents evidence that for a considerable number of journals the values of the impact factors published in ISI's Journal Citation Reports (JCR) are inaccurate, particularly for several journals hav- ing a high impact factor. The inaccuracies are due to an inappropriate definition of citable documents. Document types not defined by ISI as citable (particularly letters and editorials) are actually cited and do contribute to the cita- tion counts of a journal. We present empirical data in order to assess the degree of inaccuracy due to this phenome- non. For several journals the results are striking. We pro- pose to calculate for a journal impact factors per type of document rather than one single impact factor as given currently in the JCR.
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Scientific publications are cited to a variable extent. Distributions of article citedness are therefore found to be very skewed even for articles written by the same author, approaching linearity in a semilog plot. It is suggested that this pattern reflects a basic probability distribution with some similarity to the upper part of a normal (Gaussian) distribution. Such a distribution would be expected for various kinds of highly specialized human activity, parallels being found in the distribution of performance by top athletes and in the publication activity of university scientists. A similar skewness in the distribution of mean citedness of different authors may combine with the variability in citedness of each author's articles to form a two-leveled citational hierarchy. Such a model would be capable of accounting for the extremely skewed distribution of citedness observed for all articles within a scientific field, which approaches linearity in a double-log rather than in a semilog plot.
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Nanoscience and technology (NST) is a young scientific and technological field that has generated great worldwide interest in the past two decades. Previous bibliometric analyses have unmistakably demonstrated the remarkable growth of the global NST literature. While almost all published research articles in NST are in English, increasingly a larger share of NST publications is published in the Chinese language. Perplexingly, Chinese is the only language — apart from English — that displays an ascendant trend in the NST literature. In this brief note, we explore and evaluate three arguments that could explain this phenomenon: coverage bias, language preference, and community formation.
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Text mining was used to extract technical intelligence from the open source global nanotechnology and nanoscience research literature. An extensive nanotechnology/nanoscience-focused query was applied to the Science Citation Index/Social Science Citation Index (SCI/SSCI) databases. The nanotechnology/nanoscience research literature infrastructure (prolific authors, key journals/institutions/countries, most cited authors/journals/documents) was obtained using bibliometrics. A novel addition was the use of institution and country auto-correlation maps to show co-publishing networks among institutions and among countries, and the use of institution-phrase and country-phrase cross-correlation maps to show institution networks and country networks based on use of common terminology (proxy for common interests). The use of factor matrices quantified further the strength of the linkages among institutions and among countries, and validated the co-publishing networks shown graphically on the maps.
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China is becoming a leading nation in terms of its share of the world’s publications in the emerging nanotechnology domain. This paper demonstrates that the international rise of China’s position in nanotechnology has been underwritten by the emergence of a series of regional hubs of nanotechnology R&D activity within the country. We develop a unique database of Chinese nanotechnology articles covering the period 1990 to mid-2006 to identify the regional distribution of nanotechnology research in China. To build this database, a new approach was developed to clean and standardize the geographical allocation of Chinese publication records. We then analyze the data to understand the regional development of nanotechnology research in China over our study period and to map interregional and international research collaboration linkages. We find that the geographical distribution of China’s domestic nanotechnology research is characterized by regional imbalance, with most of the leading regions located in eastern China, including not only Beijing and Shanghai but also a series of other new regional hubs. There is much less development of nanotechnology research in central and western China. Beijing, Shanghai, and Hong Kong are among the leading Chinese regions for international nanotechnology research collaboration. Other Chinese nanotechnology regions are less focused on international collaboration, although they have developed domestic interregional collaborations. Although new regional research hubs have emerged in the nanotechnology domain, the paper notes that their concentration in eastern China reinforces existing imbalances in science and technology capabilities in China, and in turn this may further reinforce the dominant position of eastern China in the commercialization of new technologies such as nanotechnology.
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What was the impact of the nanotechnology funding boom of the past ten years? Philip Shapira and Jue Wang have scrutinized the literature to find out.
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Several research studies and reports on national and European science and technology indicators have recently presented figures reflecting intensifying scientific collaboration and increasing citation impact in practically all science areas and at all levels of aggregation. The main objective of this paper is twofold, namely first to analyse if the number or weight of actors in scientific communication has increased, if patterns of documented scientific communication and collaboration have changed in the last two decades and if these tendencies have inflationary features. The second question is concerned with the role of scientific collaboration in this context. In particular, the question will be answered to what extent co-authorship and publication activity, on one hand, and co-authorship and citation impact, on the other hand, do interact.
Article
This article examines the development of social science literature focused on the emerging area of nanotechnology. It is guided by the exploratory proposition that early social science work on emerging technologies will draw on science and engineering literature on the technology in question to frame its investigative activities, but as the technologies and societal investments in them progress, social scientists will increasingly develop and draw on their own body of literature. To address this proposition the authors create a database of nanotechnology-social science literature by merging articles from the Web of Science's Social Science Citation Index and Arts and Humanities Citation Index with articles from Scopus. The resulting database comprises 308 records. The findings suggest that there are multiple dimensions of cited literature and that social science citations of other social scientists' works have increased since 2005.
Article
Obra donde se analiza cómo el desarrollo tecnológico impulsado por el Silicon Valley atrajo a ingenieros de China, India y Taiwan, y cómo ellos han implantado las técnicas de producción y dirección en sus países, para impulsar el crecimiento de sus empresas y la economía nacional e internacional.
Article
This paper addresses the pattern of knowledge flows as indicated by patent citations between European regions. Our findings support the hypothesis that there are important barriers to knowledge flows in Europe. Patent citations occur more often between regions which belong to the same country and which are in geographical proximity. Furthermore, patent citations are industry specific and occur most often between regions that are specialised in industrial sectors with specific technological linkages between them. Patent citations are also more frequent when the citing region belongs to the same linguistic group as the cited region. JEL classification: O30; O33; R19
The benefits of study abroad and talents mobility
  • X F Chen
Chen, X.F. (2003), "The benefits of study abroad and talents mobility", Shen Zhou Xue Ren, Vol. 7, pp. 18-19 (Chinese).
Sino-US science collaboration: an analysis in bibliometrics”
  • B Jin
  • R P Suttmeier
  • Z Wang
  • C Cao
  • D Wang
  • Q Zhou
Jin, B., Suttmeier, R.P., Wang, Z., Cao, C., Wang, D. and Zhou, Q. (2007), "Sino-US science collaboration: an analysis in bibliometrics", Journal of Shanxi University (Nat. Sci. Ed ), Vol. 30 No. 2, pp. 295-302 (Chinese).