"基于区位商、ESI和InCites数据库的学科结构分析与集群判断"
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更新于2024-03-14
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这个2000字的段落大致讲述了基于区位商、ESI和InCites数据库的学科结构分析与学科集群判断。介绍了三种数据库各自的特点和在学科结构分析和学科集群判断中的应用。其中,区位商被描述为衡量区域在特定产业或领域中的相对地位的方法,可以用于揭示某一学科在不同地区的布局和发展状况;ESI数据库则是基于全球学术期刊的文献信息建立的,根据论文的被引频次等指标对全球科研机构、学科和期刊进行排名,在学科结构分析中发挥重要作用;而InCites数据库则被提及用于科研评价工具。
Paragraph summarized: This 2000-word paragraph roughly describes the analysis of the disciplinary structure and disciplinary clustering based on the location quotient, ESI, and InCites databases. It introduces the characteristics of the three databases and their applications in the analysis of disciplinary structure and disciplinary clustering. The location quotient is described as a method for measuring the relative position of a region in a specific industry or field, which can be used to reveal the layout and development of a discipline in different regions. The ESI database is based on the literature information of about 22,000 academic journals worldwide, and ranks global research institutions, disciplines, and journals based on the frequency of citation and other indicators of the published articles, playing an important role in the analysis of the disciplinary structure. InCites database is mentioned in the context of scientific evaluation tools.
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