| 引用本文: | 宋茂海,李东方.基于共词分析的国内生物信息学热点领域研究[J].生物信息学,2014,12(1):46-52. |
| SONG Maohai,LI Dongfang.Hot spots analysis of China′s bioinformatics based on co-word analysis method[J].Chinese Journal of Bioinformatics,2014,12(1):46-52. |
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| 摘要: |
| 利用共词分析和可视化方法对生物信息学的 |
| 关键词: 文献计量学 共词分析 聚类分析 数据挖掘 |
| DOI：10.3969/j.issn.1672-5565.2014-01.20140108 |
| 分类号:G350; R857 |
| 基金项目: |
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| Hot spots analysis of China′s bioinformatics based on co-word analysis method |
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SONG Maohai1,2, LI Dongfang2
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(1. Department of bioinformatics, the Second Military Medical University, Shanghai 200433; 2. Department of computer Science, the Second Military Medical University, Shanghai 200433)
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| Abstract: |
| Using co-word analysis and visual method, we clustered the key words of bioinformatics, and revealed the subject classification and hotspots of this subject. We got 5 707 bioinformatics related articles in the database of China National Knowledge Infrastructure (CNKI) and the Chinese medical association from 1998 to 2013.From these, we extracted 40 high frequency keywords. Based on these keywords, we established the co-word matrix using ROST software, and processed these data by factor analysis, clustering dendrogram, Multidimensional Scaling diagram using SPSS software. We divided the topics of bioinformatics research content into seven categories using factor analysis and cluster dendrogram. We also discussed the hotspots and tendency preliminarily using multidimensional scaling diagram．The results reflected the current subject classification and research hotspots objectively in the field of bioinformatics; our conclusions could provide a certain reference to scientific research community for bioinformatics. |
| Key words: Bibliometrics Co-word analysis Cluster analysis Data mining |
