首页> 中文期刊>情报学报 >基于叙词分析的高被引与零被引论文选题差异研究--兼谈标准叙词索引与引文索引数据的混合应用1)

基于叙词分析的高被引与零被引论文选题差异研究--兼谈标准叙词索引与引文索引数据的混合应用1)

     

摘要

为验证论文选题与论文影响力之间的相关性,利用Web of Science数据库提供的引文索引数据与CAB数据库提供的叙词索引数据,以高频叙词作为热点依据,比较了9种农业经济与政策SCI源期刊高被引论文与零被引论文的选题。研究结果显示,绝大多数期刊的高被引论文在总体上都有着比零被引论文更高的热点叙词分配率,说明热点选题对于论文影响力的提升有着的积极影响。本文还对叙词索引数据应用以及知识图谱绘制的阈值参数选取等与研究结论相关的问题进行了讨论。%According to the frequently occurring descriptors from CAB thesaurus and citation data from Web of Science, this paper gave a topic selection comparing between highly cited papers and non cited papers for the reason to verify the relationship between topic selection and citation impact. The sample was extracted from 9 agricultural economics & policy SCI source journals. The results showed that there was larger proportion of allocation on hotspot descriptors from thesaurus on most of journals, which indicated hot topic selection contributed to the citation impact of papers. The paper also gave a discussion on the application of thesaurus, threshold selection on knowledge mapping and other topics related to the results.

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