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

被引：113
|
作者：
An, Xin Ying [2 ]
Wu, Qing Qiang [1 ]
机构：
[1] Xiamen Univ, Sch Software, Xiamen 361005, Fujian, Peoples R China
[2] Chinese Acad Med Sci, Inst Med Informat, Beijing 100020, Peoples R China
来源：
SCIENTOMETRICS | 2011年 / 88卷 / 01期
关键词：
Subject heading weighting; Co-word analysis; Strategic diagram; Information entropy; Research front;
D O I：
10.1007/s11192-011-0374-1
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：133 / 144
页数：12
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