Productivity and influence in bioinformatics: A bibliometric analysis using PubMed central

Bioinformatics is a fast‐growing field based on the optimal use of “big data” gathered in genomic, proteomics, and functional genomics research. In this paper, we conduct a comprehensive and in‐depth bibliometric analysis of the field of bioinformatics by extracting citation data from PubMed Central...

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Bibliographic Details
Published inJournal of the American Society for Information Science and Technology Vol. 65; no. 2; pp. 352 - 371
Main Authors Song, Min, Kim, SuYeon, Zhang, Guo, Ding, Ying, Chambers, Tamy
Format Journal Article
LanguageEnglish
Published Malden, MA Blackwell Publishing Ltd 01.02.2014
Wiley
Wiley Periodicals Inc
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Summary:Bioinformatics is a fast‐growing field based on the optimal use of “big data” gathered in genomic, proteomics, and functional genomics research. In this paper, we conduct a comprehensive and in‐depth bibliometric analysis of the field of bioinformatics by extracting citation data from PubMed Central full‐text. Citation data for the period 2000 to 2011, comprising 20,869 papers with 546,245 citations, was used to evaluate the productivity and influence of this emerging field. Four measures were used to identify productivity; most productive authors, most productive countries, most productive organizations, and most popular subject terms. Research impact was analyzed based on the measures of most cited papers, most cited authors, emerging stars, and leading organizations. Results show the overall trends between the periods 2000 to 2003 and 2004 to 2007 were dissimilar, while trends between the periods 2004 to 2007 and 2008 to 2011 were similar. In addition, the field of bioinformatics has undergone a significant shift, co‐evolving with other biomedical disciplines.
Bibliography:istex:1EE2F613EF347F1267F3EA1FF6292ABF1D038AE2
ArticleID:ASI22970
Korean Government - No. NRF-2012-2012S1A3A2033291; No. 2012033242
ark:/67375/WNG-52HSCV2X-M
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:2330-1635
2330-1643
DOI:10.1002/asi.22970