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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
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Finding citations for PubMed: a large-scale comparison between five freely available bibliographic data sources.
Zhentao Liang1,2, Jin Mao1,2, Kun Lu3
1Center for Studies of Information Resources, Wuhan University, Bayi Road #299, Wuchang District, Wuhan, 430072 Hubei China.
Scientometrics
|November 1, 2021
Summary
Dimensions offers the most comprehensive PubMed citation data, covering over 90% of links found in other sources. This study evaluated five free data sources for citation coverage and quality.
Area of Science:
- Bibliometrics
- Biomedical Informatics
- Data Science
Background:
- PubMed is a key biomedical database providing free abstract access.
- Citation data is crucial but often requires external sources.
- The quality of citations in free PubMed data sources is underexplored.
Purpose of the Study:
- To compare the coverage and citation quality of five free data sources for PubMed documents.
- To evaluate the correctness and completeness of citations using gold standards and metrics.
Main Methods:
- Compared five data sources: OpenCitations (COCI), Dimensions, Microsoft Academic Graph (MAG), NIH-OCC, and S2ORC.
- Evaluated 30 million PubMed documents.
- Utilized three gold standards and five metrics for citation correctness and completeness.
Main Results:
- Dimensions provided the highest coverage (62.4%), surpassing NIH-OCC (56.7%).
- Over 90% of citations from other sources were found in Dimensions.
- Dimensions and NIH-OCC showed the best overall citation quality, with high precision (>90%) but lower recall.
- Performance improved for recent publications, with diminished differences between sources.
Conclusions:
- Dimensions is the most comprehensive and a high-quality source for PubMed citations.
- Researchers can use these findings to select appropriate PubMed citation data sources.
- The study aids in evaluating the citation quality of free bibliographic databases.
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