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Purpose:(1) To test basic assumptions underlying frequency-weighted citation analysis:(a) Uni-citations correspond to citations that are nonessential to the citing papers;(b) The influence of a cited paper on the citing paper increases with the frequency with which it is cited in the citing paper.(2) To explore the degree to which citation location may be used to help identify nonessential citations.Design/methodology/approach:Each of the in-text citations in all research articles published in Issue 1 of the Journal of the Association for Information Science and Technology(JASIST) 2016 was manually classified into one of these five categories:Applied,Contrastive,Supportive,Reviewed,and Perfunctory.The distributions of citations at different in-text frequencies and in different locations in the text by these functions were analyzed.Findings:Filtering out nonessential citations before assigning weight is important for frequency-weighted citation analysis.For this purpose,removing citations by location is more effective than re-citation analysis that simply removes uni-citations.Removing all citation occurrences in the Background and Literature Review sections and uni-citations in the Introduction section appears to provide a good balance between filtration and error rates.Research limitations:This case study suffers from the limitation of scalability and generalizability.We took careful measures to reduce the impact of other limitations of the data collection approach used.Relying on the researcher's judgment to attribute citation functions,this approach is unobtrusive but speculative,and can suffer from a low degree of confidence,thus creating reliability concerns.Practical implications:Weighted citation analysis promises to improve citation analysis for research evaluation,knowledge network analysis,knowledge representation,and information retrieval.The present study showed the importance of filtering out nonessential citations before assigning weight in a weighted citation analysis,which may be a significant ste
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篇名 Functions of Uni- and Multi-citations: Implications for Weighted Citation Analysis
来源期刊 数据与情报科学学报:英文版 学科 文学
关键词 英语 阅读 理解 情报科学
年,卷(期) sjyqbkxxbywb_2017,(1) 所属期刊栏目
研究方向 页码范围 51-69
页数 19页 分类号 H31
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