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

• Published in: Journal 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
• Language: English
• Published: Malden, MA Blackwell Publishing Ltd 01.02.2014; Wiley; Wiley Periodicals Inc
• Subjects: Author productivity; Bibliometrics; Bibliometrics. Scientometrics; Bibliometrics. Scientometrics. Evaluation; Bioinformatics; Biology; Citation analysis; Data; Exact sciences and technology; Impact analysis; Information and communication sciences; Information retrieval; Information science. Documentation; Library and information science. General aspects; Optimization; Organizations; Productivity; Proteomics; Sciences and techniques of general use; Studies; text mining; Trends; Research field; Citation; Full text; Bibliometric analysis; Follow up study

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...