A Metric Approach to Hot Topics in Biomedicine via Keyword Co-occurrence

查看全文 作　　者：Jane [1,2]H.Qin;Jean [1,2]J.Wang;Fred [1,2]Y.Ye

机构地区：[1]Jiangsu Key Laboratory of Data Engineering and Knowledge Service,School of Information Management,Nanjing University,Nanjing 210023,China;[2]International Joint Informatics Laboratory(IJIL),Nanjing University-University of Illinois,Nanjing-Champaign,China-USA

出　　处：《Journal of Data and Information Science》索引2019年第4卷第4期,共13页

基　　金：the National Natural Science Foundation of China Grant 71673131 for financial support 摘　　要：Purpose:To reveal the research hotpots and relationship among three research hot topics in b iomedicine,namely CRISPR,iPS(induced Pluripotent Stem)cell and Synthetic biology.Design/methodology/approach:We set up their keyword co-occurrence networks with using three indicators and information visualization for metric analysis.Findings:The results reveal the main research hotspots in the three topics are different,but the overlapping keywords in the three topics indicate that they are mutually integrated and interacted each other.Research limitations:All analyses use keywords,without any other forms.Practical implications:We try to find the information distribution and structure of these three hot topics for revealing their research status and interactions,and for promoting biomedical developments.Originality/value:We chose the core keywords in three research hot topics in biomedicine by using h-index. 关键词：Keyword co-occurrence Network analysis Information visualization BIOMEDICINE Hot topics CRISPR-Cas iPS cell Synthetic biology

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A Metric Approach to Hot Topics in Biomedicine via Keyword Co-occurrence

参考文献(34)

引证文献(1)

耦合文献(704)

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