A Study of References in Russian Citing Publications (Sources) on Data from the Web of Science Core Collection

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2022-10-04 DOI:10.3103/S0005105522040033
R. S. Gilyarevskii, A. N. Libkind, I. A. Libkind
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引用次数: 2

Abstract

The article presents the results of the first statistical analysis of an array of references (about 30 million) from Russian research articles, reviews, conference proceedings, and monograph chapters published in 1980–2020. The references are processed (restructured and identified) to make them machine-readable and to match them to cited publications. It is found that the content of the bibliographic description fields is not uniform. Methods for eliminating this ambiguity are proposed. Changes in the length of reference lists over time, the completeness of data in fields containing bibliographic descriptions of references, the dependence of successful identification of references on the database and the time of publication of the citing publication, and cross-identification of source publications and references are discussed.

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俄罗斯引用科学核心网数据的出版物(来源)的参考文献研究
摘要——本文介绍了对1980-2020年发表的俄罗斯研究文章、综述、会议记录和专著章节中的一系列参考文献(约3000万)的首次统计分析结果。参考文献经过处理(重组和识别),使其具有机器可读性,并与引用的出版物相匹配。研究发现,书目描述领域的内容并不统一。提出了消除这种歧义的方法。讨论了参考文献列表长度随时间的变化、包含参考文献书目描述的字段中数据的完整性、成功识别参考文献对数据库和引用出版物出版时间的依赖性,以及源出版物和参考文献的交叉识别。
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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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