caa a22 4500 445348607 CHVBK 20180317142837.0 cr unu---uuuuu 170323e20110701xx s 000 0 eng 10.1007/s11192-011-0374-1 doi (NATIONALLICENCE)springer-10.1007/s11192-011-0374-1 Co-word analysis of the trends in stem cells field based on subject heading weighting [Elektronische Daten] [Xin An, Qing Wu] 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. Akadémiai Kiadó, Budapest, Hungary, 2011 Subject heading weighting nationallicence Co-word analysis nationallicence Strategic diagram nationallicence Information entropy nationallicence Research front nationallicence An Xin Institute of Medical Information, Chinese Academy of Medical Sciences, No. 3 Yabao Road, Chaoyang District, 100020, Beijing, People's Republic of China aut Wu Qing School of Software, Xiamen University, 361005, Xiamen, Fujian, People's Republic of China aut Scientometrics Springer Netherlands 88/1(2011-07-01), 133-144 0138-9130 88:1<133 2011 88 11192 https://doi.org/10.1007/s11192-011-0374-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11192-011-0374-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- An Xin Institute of Medical Information, Chinese Academy of Medical Sciences, No. 3 Yabao Road, Chaoyang District, 100020, Beijing, People's Republic of China aut NATIONALLICENCE 700 1- Wu Qing School of Software, Xiamen University, 361005, Xiamen, Fujian, People's Republic of China aut NATIONALLICENCE 773 0- Scientometrics Springer Netherlands 88/1(2011-07-01), 133-144 0138-9130 88:1<133 2011 88 11192 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer