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除了谷歌学术、Scopus 和 Web of Science 之外:对 59 个数据库引文索引的回溯和前向引文覆盖范围的评估。

Beyond Google Scholar, Scopus, and Web of Science: An evaluation of the backward and forward citation coverage of 59 databases' citation indices.

机构信息

Institute of Innovation Management, Johannes Kepler University Linz, Linz, Austria.

出版信息

Res Synth Methods. 2024 Sep;15(5):802-817. doi: 10.1002/jrsm.1729. Epub 2024 Jun 14.

DOI:10.1002/jrsm.1729
PMID:38877607
Abstract

Citation indices providing information on backward citation (BWC) and forward citation (FWC) links are essential for literature discovery, bibliographic analysis, and knowledge synthesis, especially when language barriers impede document identification. However, the suitability of citation indices varies. While some have been analyzed, the majority, whether new or established, lack comprehensive evaluation. Therefore, this study evaluates the citation coverage of the citation indices of 59 databases, encompassing the widely used Google Scholar, Scopus, and Web of Science alongside many others never previously analyzed, such as the emerging Lens, Scite, Dimensions, and OpenAlex or the subject-specific PubMed and JSTOR. Through a comprehensive analysis using 259 journal articles from across disciplines, this research aims to guide scholars in selecting indices with broader document coverage and more accurate and comprehensive backward and forward citation links. Key findings highlight Google Scholar, ResearchGate, Semantic Scholar, and Lens as leading options for FWC searching, with Lens providing superior download capabilities. For BWC searching, the Web of Science Core Collection can be recommended over Scopus for accuracy. BWC information from publisher databases such as IEEE Xplore or ScienceDirect was generally found to be the most accurate, yet only available for a limited number of articles. The findings will help scholars conducting systematic reviews, meta-analyses, and bibliometric analyses to select the most suitable databases for citation searching.

摘要

引文索引为文献发现、书目分析和知识综合提供了重要信息,特别是在语言障碍阻碍文档识别时。然而,引文索引的适用性存在差异。虽然已经分析了一些引文索引,但大多数新的或已建立的引文索引都缺乏全面的评估。因此,本研究评估了 59 个数据库的引文索引的引文覆盖范围,涵盖了广泛使用的 Google Scholar、Scopus 和 Web of Science,以及许多以前从未分析过的数据库,如新兴的 Lens、Scite、Dimensions 和 OpenAlex 或特定于主题的 PubMed 和 JSTOR。本研究通过对来自不同学科的 259 篇期刊文章进行全面分析,旨在指导学者选择具有更广泛文献覆盖范围、更准确和全面的回溯和前向引文链接的索引。研究结果突出了 Google Scholar、ResearchGate、Semantic Scholar 和 Lens 作为 FWC 搜索的领先选择,其中 Lens 提供了卓越的下载功能。对于 BWC 搜索,可以推荐使用 Web of Science Core Collection 而不是 Scopus,因为前者的准确性更高。出版商数据库(如 IEEE Xplore 或 ScienceDirect)的 BWC 信息通常被认为是最准确的,但仅适用于有限数量的文章。这些发现将帮助进行系统评价、荟萃分析和文献计量分析的学者选择最适合引文搜索的数据库。

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