• DocumentCode
    3453714
  • Title

    Mapping the field of Bioinformatics with a content and co-authorship analysis

  • Author

    Min Song ; Yang, C.C. ; Xuning Tang ; Wook-Shin Han

  • Author_Institution
    Dept. of Libr. & Inf. Sci., Yonsei Univ., Seoul, South Korea
  • fYear
    2012
  • fDate
    4-7 Oct. 2012
  • Firstpage
    774
  • Lastpage
    781
  • Abstract
    Bioinformatics is a fast-growing interdisciplinary research field that applies advanced computational techniques to biological data. Bibliometrics analysis has recently been adopted to understand the knowledge structure of a research field by citation pattern. In this paper, we explore the knowledge structure of Bioinformatics from the perspective of a core open access Bioinformatics journal, BMC Bioinformatics with trend analysis, the content and co-authorship network similarity, and principal component analysis. The experimental results show that Bioinformatics is fast-growing, dynamic and diversified. The content analysis shows that there is an increasing overlap among Bioinformatics journals in terms of topics and more research groups participate in researching Bioinformatics according to the co-authorship network similarity.
  • Keywords
    bioinformatics; citation analysis; principal component analysis; BMC Bioinformatics; bibliometrics analysis; bioinformatics mapping; biological data; citation pattern; coauthorship analysis; coauthorship network similarity; content analysis; open access bioinformatics journal; principal component analysis; trend analysis; Bibliometrics; Bioinformatics; Collaboration; Conferences; Market research; Social network services; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4673-2746-6
  • Electronic_ISBN
    978-1-4673-2744-2
  • Type

    conf

  • DOI
    10.1109/BIBMW.2012.6470238
  • Filename
    6470238