使用开放获取的好处:引文分析

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2022-10-04 DOI:10.3103/S0005105522040045
V. N. Komaritsa
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引用次数: 0

摘要

对开放获取(OA)对科学出版物的文献计量指标和altmetrics的影响进行了评估。研究对象是RSCI书目数据库中文章的元数据,根据以下条件选择:(1)文章必须与主题领域“管道运输”相对应(根据SRNTI分类);(2) 文章元数据应包含主题领域术语中的5-7个关键词;以及(3)自文章发表之日起必须超过三年。研究结果在一定程度上证实,开放获取的使用增加了文章的浏览量,扩大了读者群,并有助于知识的传播。然而,OA的长期影响在文献计量增长方面并没有显示出明显的改善。已经确定,以OA和非OA术语发表的文章的引用在3年后趋于平稳,并且随着时间的推移,出版物类型不会显著影响文献计量指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Benefits of Using Open Access: Citation Analysis

An assessment of the impact of open access (OA) on bibliometric indicators and the altmetrics of scientific publications is presented. The object of the study was the metadata of articles placed in the RSCI bibliographic database, selected according to the following conditions: (1) the article must correspond to the subject area “pipeline transport” (according to the SRNTI classification); (2) article metadata should contain 5–7 keywords among terms from the subject area; and (3) more than three years must pass from the date of publication of the article. The results of the study confirm to some extent that the use of open access increases the number of views of articles, expands the readership and contributes to the dissemination of knowledge. However, the long-term impact of OA does not show obvious improvements in terms of bibliometric growth. It has been established that the citation of articles published on the terms of OA and non-OA levels out after 3 years, and, over time, the type of publication will not significantly affect the bibliometric indicators.

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来源期刊
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
40.00%
发文量
18
期刊介绍: Automatic Documentation and Mathematical Linguistics  is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.
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