论文标题
书目数据来源的大规模比较：Scopus，Web of Science，Dimensions，Crossref和Microsoft Academic
Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic
论文作者
论文摘要
我们提供了五个多学科书目数据来源的大规模比较：Scopus，Scopus，Web of Science，Dimensions，Crossref和Microsoft Academic。该比较考虑了这些数据源涵盖的2008 - 2017年期间的科学文档。与其他每个数据源以成对方式比较Scopus。我们首先分析了文档覆盖范围中数据源之间的差异，例如，随着时间的流逝，文档类型的差异和每个学科的差异，例如，重点是差异。然后，我们研究引文链接完整性和准确性的差异。根据我们的分析，我们讨论了不同数据源的优势和劣势。我们强调将科学文献的全面覆盖范围与灵活的过滤器相结合的重要性，以选择文献。
We present a large-scale comparison of five multidisciplinary bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic. The comparison considers scientific documents from the period 2008-2017 covered by these data sources. Scopus is compared in a pairwise manner with each of the other data sources. We first analyze differences between the data sources in the coverage of documents, focusing for instance on differences over time, differences per document type, and differences per discipline. We then study differences in the completeness and accuracy of citation links. Based on our analysis, we discuss strengths and weaknesses of the different data sources. We emphasize the importance of combining a comprehensive coverage of the scientific literature with a flexible set of filters for making selections of the literature.
