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

Authors:
Xin Ying An;Qing Qiang Wu
Affiliations:
Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, People's Republic of China 100020;School of Software, Xiamen University, Xiamen, Fujian, People's Republic of China 361005
Venue:
Scientometrics
Year:
2011

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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.