The NIH National Center for Integrative Biomedical Informatics (NCIBI).

Center for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Journal of the American Medical Informatics Association (Impact Factor: 3.93). 11/2011; 19(2):166-70. DOI: 10.1136/amiajnl-2011-000552
Source: PubMed

ABSTRACT The National Center for Integrative and Biomedical Informatics (NCIBI) is one of the eight NCBCs. NCIBI supports information access and data analysis for biomedical researchers, enabling them to build computational and knowledge models of biological systems to address the Driving Biological Problems (DBPs). The NCIBI DBPs have included prostate cancer progression, organ-specific complications of type 1 and 2 diabetes, bipolar disorder, and metabolic analysis of obesity syndrome. Collaborating with these and other partners, NCIBI has developed a series of software tools for exploratory analysis, concept visualization, and literature searches, as well as core database and web services resources. Many of our training and outreach initiatives have been in collaboration with the Research Centers at Minority Institutions (RCMI), integrating NCIBI and RCMI faculty and students, culminating each year in an annual workshop. Our future directions include focusing on the TranSMART data sharing and analysis initiative.


Available from: James Cavalcoli, Apr 28, 2015
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    ABSTRACT: In a growing interdisciplinary field like biomedical informatics, information dissemination and citation trends are changing rapidly due to many factors. To understand these factors better, we analyzed the evolution of the number of articles per major biomedical informatics topic, download/online view frequencies, and citation patterns (using Web of Science) for articles published from 2009 to 2012 in JAMIA. The number of articles published in JAMIA increased significantly from 2009 to 2012, and there were some topic differences in the last 4 years. Medical Record Systems, Algorithms, and Methods are topic categories that are growing fast in several publications. We observed a significant correlation between download frequencies and the number of citations per month since publication for a given article. Earlier free availability of articles to non-subscribers was associated with a higher number of downloads and showed a trend towards a higher number of citations. This trend will need to be verified as more data accumulate in coming years.
    Journal of the American Medical Informatics Association 11/2013; 20(E2). DOI:10.1136/amiajnl-2013-002429 · 3.93 Impact Factor
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    Journal of the American Medical Informatics Association 11/2013; 21(3). DOI:10.1136/amiajnl-2013-001772 · 3.93 Impact Factor