出版商对引文的兴趣:Scopus数据库分析

IF 0.4 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE Annals of Library and Information Studies Pub Date : 2022-12-12 DOI:10.56042/alis.v68i4.49432
N. Satish
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引用次数: 0

摘要

出版商对期刊文章引用的兴趣是影响学术交流的一个重要变量。引文研究的重点通常是单个期刊标题和期刊影响因素。本研究分析了2016年至2018年Scopus代表的出版商的引文相关数据。研究结果表明,25家主要出版商的每份文档的引用量存在显著的偏差。科学院和社会出版物,以及Scopus中代表期刊较少的出版商,似乎在利用引用影响方面处于失败的一端。分析指出,在引文影响的背景下,出版商品牌可能会产生影响。
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Publisher interest in citations: An analysis of Scopus database
Publisher interest in citation to journal articles is an important variable that affect scholarly communication. The focus of citation studies is often on individual journal titles and Journal Impact Factors. The present study analyses the citation related data in the context of publishers represented in Scopus for the years 2016-2018. The results indicate a significant skewness in citations per document for 25 major publishers. Science academies and society publications, along with those publishers with fewer journals represented in Scopus, seem to be on the losing end in harnessing citation impact. Analysis points to the possible influence of publisher branding in the context of citation impact.
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来源期刊
Annals of Library and Information Studies
Annals of Library and Information Studies INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.60
自引率
16.70%
发文量
3
审稿时长
20 weeks
期刊介绍: Annals of Library and Information Studies is a leading quarterly journal in library and information studies publishing original papers, survey reports, reviews, short communications, and letters pertaining to library science, information science and computer applications in these fields.
期刊最新文献
Annals of Library and Information Studies: Some reflections and future directions A study of ‘calf-path’ in file naming in institutional repositories in India The scope of open peer review in the scholarly publishing ecosystem Collaborative authorship patterns in computer science publications Automatic extraction of significant terms from the title and abstract of scientific papers using the machine learning algorithm: A multiple module approach
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