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  • 1 Institute of Medical Information, Chinese Academy of Medical Sciences, No. 3 Yabao Road, Chaoyang District, Beijing 100020, People's Republic of China, an.xinying@imicams.ac.cn
  • | 2 School of Software, Xiamen University, Xiamen, Fujian 361005, People's Republic of China
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Abstract

In this paper, co-word analysis is used to analyze the evolvement in stem cell field. Articles in the stem cell journals are downloaded from PubMed for analysis. Terms selection is one of the most important steps in co-word analysis, so the useless and the general subject headings are removed firstly, and then the major subject headings and minor subject headings are weighted respectively. Then, improved information entropy is exploited to select the subject headings with the experts consulting. Hierarchical cluster analysis is used to cluster the subject headings and the strategic diagram is formed to analyze the evolutionary trends in the stem cell field.

  • Bangrae, L, Yong-il, J 2008 Mapping Korea's national R&D domain of robot technology by using the co-word analysis. Scientometrics 77 1 319 .

  • Bauin, S, Michelet, B, Schweighoffer, MG, Vermeulin, P 1991 Using bibliometrics in strategic analysis: “Understanding chemical reactions” at the CNRS. Scientometrics 22 1 113137 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Callon, M, Courtial, J, Laville, F 1991 Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemistry. Scientometrics 22 1 155205 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Callon, M, Courtial, JP, Turner, WA, Bauin, S 1983 From translations to problematic networks: An introduction to co-word analysis. Social Science Information 22 2 191235 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Callon, M, Law, J, Rip, A 1986 Mapping the dynamics of science and technology: Sociology of science in the real world Macmillan London.

  • Courtial, JP 1986 Mapping the dynamics of science and technology: Technical issues and developments in methodology The Macmillan Press London 189210.

    • Search Google Scholar
    • Export Citation
  • Courtial, JP, Sigogneau, A 2009 How to use scientific and technological information to reveal strategic technologies. International Journal of Technology Management 10 1 3144.

    • Search Google Scholar
    • Export Citation
  • Fabian, M, Mathäus, D, Fradkin, D, Etienne, J 2008 Anticipating annotations and emerging trends in biomedical literature. Proceeding of the 14th ACM SIGKDD international conference on knowledge discovery and data mining ACM New York NY, USA.

    • Search Google Scholar
    • Export Citation
  • Gray, RM 1990 Entropy and information theory Springer Verlag New York 3553.

  • Law, J, Bauin, S, Courtial, JP, Whittaker, J 1988 Policy and the mapping of scientific change: A co-word analysis of research into environmental acidification. Scientometrics 14 3 251264 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Leydesdorff, L 2005 Similarity measures, author cocitation analysis, and information theory. Journal of the American Society for Information Science and Technology 56 7 769772 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Qin, H 1999 Knowledge discovery through co-word analysis. Library Trends 48 1 133159.

  • Tan, PN, Steinbach, M, Kumar, V 2006 Introduction to data mining Pearson Addison Wesley Boston 3589.

  • Xavier, P 2005 Co-word analysis revisited: Modeling co-word clusters in terms of graph theory. Proceeding or ISSI 2:662663.

  • Ying, J 2006 A co-word analysis of bibliometrics in 1995 2004. Journal of the China Society for Scientific and Technical Information 25 4 503512.

    • Search Google Scholar
    • Export Citation
  • Zhao, Y, Karypis, G 2002 Evaluation of hierarchical clustering algorithms for document datasets CIKM'02, McLean Virginia, USA P515P524.