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Co-word analysis of the trends in stem cells field based on subject heading weighting

Author

Listed:
  • Xin Ying An

    (Chinese Academy of Medical Sciences)

  • Qing Qiang Wu

    (Xiamen University)

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.

Suggested Citation

  • Xin Ying An & Qing Qiang Wu, 2011. "Co-word analysis of the trends in stem cells field based on subject heading weighting," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 133-144, July.
    • Handle: RePEc:spr:scient:v:88:y:2011:i:1:d:10.1007_s11192-011-0374-1
    DOI: 10.1007/s11192-011-0374-1
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    References listed on IDEAS

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    1. Loet Leydesdorff, 2005. "Similarity measures, author cocitation analysis, and information theory," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(7), pages 769-772, May.
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