Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: A Multidisciplinary Comparison of Coverage via Citations
Open accessAbstract
New sources of citation data have recently become available, such as Microsoft Academic, Dimensions, and the OpenCitations Index of CrossRef open DOI-to-DOI citations (COCI). Although these have been compared to the Web of Science Core Collection (WoS), Scopus, or Google Scholar, there is no systematic evidence of their differences across subject categories. In response, this paper investigates 3,073,351 citations found by these six data sources to 2,515 English-language highly-cited documents published in 2006 from 252 subject categories, expanding and updating the largest previous study. Google Scholar found 88% of all citations, many of which were not found by the other sources, and nearly all citations found by the remaining sources (89-94%). A similar pattern held within most subject categories. Microsoft Academic is the second largest overall (60% of all citations), including 82% of Scopus citations and 86% of WoS citations. In most categories, Microsoft Academic found more citations than Scopus and WoS (182 and 223 subject categories, respectively), but had coverage gaps in some areas, such as Physics and some Humanities categories. After Scopus, Dimensions is fourth largest (54% of all citations), including 84% of Scopus citations and 88% of WoS citations. It found more citations than Scopus in 36 categories, more than WoS in 185, and displays some coverage gaps, especially in the Humanities. Following WoS, COCI is the smallest, with 28% of all citations. Google Scholar is still the most comprehensive source. In many subject categories Microsoft Academic and Dimensions are good alternatives to Scopus and WoS in terms of coverage.
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Due to its recent introduction, relatively little is known regarding Dimensions' comprehensiveness and validity as a reliable bibliographic data source.
“However, due to its recent introduction, relatively little is known regarding its comprehensiveness and validity as a reliable bibliographic data source, as the exploring of these features has only just began in the scientometric community [32,37-40].”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [32]
Many other data sources are free and relatively new, and their validity is still questionable.
“Many of them are also free and relatively new products, such as Microsoft Academic, CrossRef, ResearchGate, OpenCitations, etc. [32,39-41]. Hence, their validity is also still questionable.”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [32]
Google Scholar's data export is unavailable for large-scale analysis.
“Moreover, one of the main setbacks in trying to use GS for large-scale analysis is the unavailability of its data export [23,31-33].”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [32]
In a large-scale comparison of six data sources, Scopus retrieved 57% of all combined citations to sample documents, while WoS retrieved 52%.
“a very recent large scale comparison of six data sources has shown that Scopus retrieved 57% of all combined citations to the sample documents, while WoS retrieved 52% of the total citations.”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [32]
Both WoS and Scopus are commercial, their content is protected by restricting access to raw data, and access to their APIs usually requires additional payment.
“However, since both WoS and Scopus are commercial, their content is protected by restricting access to raw data [42], and access to their APIs usually requires additional payment [32].”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [32]
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References 55 · Cited by 1,018
Research works printed but not linked: 8
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- Authors
- Martín-Martín, A., Thelwall, M., Orduna-Malea, E., & Delgado López-Cózar, E.
- Affiliations
- University of Wolverhampton (GB)
- Venue
- Scientometrics
- Published
- 2020-09-21
- Volume
- 126
- Issue
- 1
- Pages
- 871-906
- ISSN
- 0138-9130 (ISSN-L)
- 1588-2861
- PMC
- PMC7505221
- OpenAlex
- W3023758415
- Cited by
- 1,018
- References
- 55
- Citations by year
- 2026: 203 · 2025: 235 · 2024: 230 · 2023: 167 · 2022: 114 · 2021: 62 · 2020: 7
- FWCI
- 53.35
- Type
- journal article
- Language
- en
- Update notices
- correction (2020-12-04)
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Scientometrics (publishedVersion, public-domain)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Institutional Repository of the University of Granada (University of Granada) (acceptedVersion, other-oa)
- Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton) (acceptedVersion, cc-by-nc-nd)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- RiuNet (Universitat Politècnica de València) (submittedVersion, cc-by-nc-nd)
- arXiv (Cornell University)
- Funders
- Universidad de Granada
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
- Physical Sciences › Computer Science › Information Systems › Library Science and Information
- Keywords
- citation indexes, citation coverage, Google Scholar, Microsoft Academic, Scopus, dimensions, Web of Science Core Collection, highly cited papers
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