Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic
@article{Visser2020LargescaleCO, title={Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic}, author={Martijn S. Visser and Nees Jan van Eck and Ludo Waltman}, journal={Quantitative Science Studies}, year={2020}, pages={1-22} }
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…
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References
SHOWING 1-10 OF 58 REFERENCES
The Journal Coverage of Web of Science, Scopus and Dimensions: A Comparative Analysis
- Biology, Computer ScienceScientometrics
- 2021
The results indicate that the databases have significantly different journal coverage, with the Web of Science being most selective and Dimensions being the most exhaustive.
Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: a multidisciplinary comparison of coverage via citations
- EducationScientometrics
- 2021
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.
Coverage of highly-cited documents in Google Scholar, Web of Science, and Scopus: a multidisciplinary comparison
- Computer ScienceScientometrics
- 2018
The main conclusion is that the data about highly-cited documents available in the inclusive database Google Scholar does indeed reveal significant coverage deficiencies in Web of Science and Scopus in several areas of research.
The journal coverage of Web of Science and Scopus: a comparative analysis
- Computer ScienceScientometrics
- 2015
Results indicate that the use of either WoS or Scopus for research evaluation may introduce biases that favor Natural Sciences and Engineering as well as Biomedical Research to the detriment of Social Sciences and Arts and Humanities.
Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus
- Computer ScienceJ. Informetrics
- 2016
Dimensions: re-discovering the ecosystem of scientific information
- Computer ScienceArXiv
- 2018
It is concluded that Dimensions is an alternative for carrying out citation studies, being able to rival Scopus (Greater coverage and free of charge) and with Google Scholar (greater functionalities for the treatment and data export).
Two new kids on the block: How do Crossref and Dimensions compare with Google Scholar, Microsoft Academic, Scopus and the Web of Science?
- Computer ScienceScientometrics
- 2019
Overall, this first small-scale study suggests that, when compared to Scopus and the Web of Science, Crossref and Dimensions have a similar or better coverage for both publications and citations, but a substantively lower coverage than Google Scholar and Microsoft Academic.
Comparing bibliometric country-by-country rankings derived from the Web of Science and Scopus: the effect of poorly cited journals in oncology
- BusinessJ. Inf. Sci.
- 2009
It is found that the oncological journals in Scopus not covered by WoS tend to be nationally oriented journals, i.e. they mainly serve a national research community, and play as of yet a more peripheral role in the international journal communication system.
Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies
- Computer ScienceQuantitative Science Studies
- 2020
The trustworthiness of Scopus has led to its use as bibliometric data source for large-scale analyses in research assessments, research landscape studies, science policy evaluations, and university rankings.
Comparison of bibliographic data sources: Implications for the robustness of university rankings
- Computer SciencebioRxiv
- 2019
Detailed bibliographic comparisons between three key databases are performed and it is suggested that robust evaluation measures need to consider the effect of choice of data sources and recommend an approach where data from multiple sources is integrated to provide a more robust dataset.