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Taking three Chinese databases (CNKI,WANFANG and VIP) as data sources,the paper retrieves documents about Clinical Pathway (CP) dated from 2000 to 2009 and dated from 2010 to 2015 as well as respectively performing the clustering analysis and strategic coordinate analysis of high-frequency keywords on dereplicated document set,summarizes the study hotspots of documents about CP in China.
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Objective To analyze the hot research spots of MOOC research of higher medical edu-cation in China. Methods We searched the database of China National Knowledge Infrastrucure (CNKI), VIP database of Chinese journal (VIP), Wanfang Database for published studies on MOOC research of higher medical education from 2005 to April 2015. The high frequency words were counted by an analysis program-Bibliographic Item Co-occurrence Matrix Builder (BICOMB). According to the ranking word frequency threshold formula by Donohue, we collected the high-frequency keywords. The corresponding co-word ma-trixes were constructed by Bibexcel, then the data was input into SPSS 19.0 software for hierarchical clus-tering analysis. Results Finally 2 459 articles were included. 11 177 keywords and 13 high frequency words (the number of the real selected was 24) were taken into account. The keywords “stanford” clus-tered with “education module”, “online education”, “online courses”, “distance education”, “learning pro-cess”, “self-regulated learning”, “information technology”, “classroom teaching”. The keywords “network course” clustered with “teaching design”. The keywords “online learning” clustered with itself. The key-words “challenge” clustered with “colleges and universities”. The keywords “flipped classroom” clustered with“micro-lecture”,“MOOC”,“higher education”, “library”, “teaching module”, “teaching reform”, “big data”,“open education”. The keywords“SPOC”clustered with itself. Conclusion The research of MOOC research of higher medical education in our country has formed the basic characteristics with six hot spots involving teaching design, the model of online learning, dispassion thinking, teaching reform, and develop-ment. And there are many potential areas.
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Objective To reveal the main interests in studies of Kashin-Beck disease by analyzing the key words in Chinese papers on Kashin-Beck disease .Methods Chinese papers on Kashin-Beck disease were retrieved from CNKI, CBM, VIP, and Wanfang digital journal full-text database.A co-word matrix was generated by abstracting their key words which were analyzed by gCLUTO clustering .Results The studies on Kashin-Beck disease were centered on the role of fusarium metabolic toxins and fulvic acid in pathology of Kashin-Beck disease, etiology of Kashin-Beck disease, functional change in Kashin-Beck disease patients, relation between Kashin-Beck disease and geological envi-ronment, monitoring and X-ray diagnosis of Kashin-Beck disease, surgical treatment of Kashin-Beck disease, preven-tion and treatment efficiency analysis of Kashin-Beck disease.Social network figure showed that etiology of Kashin-Beck disease, relation between Kashin-Beck disease and geological environment, monitoring and X-ray diagnosis of Kashin-Beck disease, surgical treatment of Kashin-Beck disease, prevention and treatment efficiency analysis of Kashin-Beck disease were the hot spots in studies of Kashin-Beck disease at present.Conclusion The research subjects determined by co-word clustering analysis are consistent with the interests in studies of Kashin-Beck disease in China at present.