Comparative Analysis of the Bibliographic Data Sources Dimensions and Scopus: An Approach at the Country and Institutional Levels.
Comparative Analysis of the Bibliographic Data Sources Dimensions and Scopus: An Approach at the Country and Institutional Levels.
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DOI：
10.3389/frma.2020.593494
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发表时间：
2020
影响因子：
--
通讯作者：
de Moya-Anegón F
中科院分区：
文献类型：
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作者：
Guerrero-Bote VP;Chinchilla-Rodríguez Z;Mendoza A;de Moya-Anegón F
本文提出了一个大规模的文件级比较两个主要的书目数据源：Scopus和尺寸。重点是按国家和按机构两个汇总层次的文件覆盖面的差异。主要目标是分析维度是否为国家和机构层面的文献计量分析提供了良好的新机会，因为它在全球层面。还研究了引文链接的完整性和准确性的差异。这些结果使我们能够按照国家和机构的覆盖范围绘制出各层面的概况。Dimensions的覆盖率比Scopus高25%以上，这与以前的研究一致。然而，这项研究的主要发现是在很大一部分维度文档中缺乏联系数据。我们发现，Dimensions中近一半的文档与任何国家/地区都没有关联，而Scopus中没有此数据的文档比例要低得多。这种情况主要影响了维度作为在国家和机构层面进行文献计量分析的工具的可能性。这两个方面都是高度务实的信息检索和政策的设计使用科学数据库的研究评估的考虑。
This paper presents a large-scale document-level comparison of two major bibliographic data sources: Scopus and Dimensions. The focus is on the differences in their coverage of documents at two levels of aggregation: by country and by institution. The main goal is to analyze whether Dimensions offers as good new opportunities for bibliometric analysis at the country and institutional levels as it does at the global level. Differences in the completeness and accuracy of citation links are also studied. The results allow a profile of Dimensions to be drawn in terms of its coverage by country and institution. Dimensions’ coverage is more than 25% greater than Scopus which is consistent with previous studies. However, the main finding of this study is the lack of affiliation data in a large fraction of Dimensions documents. We found that close to half of all documents in Dimensions are not associated with any country of affiliation while the proportion of documents without this data in Scopus is much lower. This situation mainly affects the possibilities that Dimensions can offer as instruments for carrying out bibliometric analyses at the country and institutional level. Both of these aspects are highly pragmatic considerations for information retrieval and the design of policies for the use of scientific databases in research evaluation.