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Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases
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Abstract This paper introduces a novel scientometrics method and applies it to estimate the subject coverages of many of the popular English-focused bibliographic databases in academia. The method uses query results as a common denominator to compare a wide variety of search engines, repositories, digital libraries, and other bibliographic databases. The method extends existing sampling-based approaches that analyze smaller sets of database coverages. The findings show the relative and absolute subject coverages of 56 databases—information that has often not been available before. Knowing the databases’ absolute subject coverage allows the selection of the most comprehensive databases for searches requiring high recall/sensitivity, particularly relevant in lookup or exploratory searches. Knowing the databases’ relative subject coverage allows the selection of specialized databases for searches requiring high precision/specificity, particularly relevant in systematic searches. The findings illustrate not only differences in the disciplinary coverage of Google Scholar, Scopus, or Web of Science, but also of less frequently analyzed databases. For example, researchers might be surprised how Meta (discontinued), Embase, or Europe PMC are found to cover more records than PubMed in Medicine and other health subjects. These findings should encourage researchers to re-evaluate their go-to databases, also against newly introduced options. Searching with more comprehensive databases can improve finding, particularly when selecting the most fitting databases needs particular thought, such as in systematic reviews and meta-analyses. This comparison can also help librarians and other information experts re-evaluate expensive database procurement strategies. Researchers without institutional access learn which open databases are likely most comprehensive in their disciplines.
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“Research has established that, while Scopus has greater breadth in its inclusion of academic journals, WoS is known for its greater keyword sensitivity and a historically extensive volume of references [25,26].”
From Evolution of Primary Research Studies in Digital Interventions for Mental Well-Being Promotion from 2004 to 2023: A Bibliometric Analysis of Studies on the Web of Science (2024) · cites this paper as [25]
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A free online guide to researchers’ best search options
Gusenbauer, M. (2023) · Nature · doi:10.1038/d41586-023-00845-0 · Cited by 5
Biomedical Text Mining: Biocuration and Literature Search Engines
Acharya, K. K., Sravanthi, D., Moushumi, G., Kitchlu, A., Bindurani, B., Manchigegowda, S. B., Akhilesh, B., & Divya, D. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95502-7.00101-9 · Cited by 5
Fish-derived hepcidins in cancer treatment: a scoping review
Azemin, W.-A., Rashid, S. A., Philip, N., Ali, A. M., & Shamsir, M. S. (2025) · Beni-Suef University Journal of Basic and Applied Sciences · doi:10.1186/s43088-025-00599-w · Cited by 4
Physics-informed neural networks in the energy sector: Progress, trends, and future directions
Thawon, I., Achariyaviriya, W., Katongtung, T., Wanison, R., Syahputra, W. N. H., Mona, Y., Tippayawong, N., & Suttakul, P. (2026) · Energy Reports · doi:10.1016/j.egyr.2025.109013 · Cited by 4
A Systematic Review and Bibliometric Analysis of Automated Multiple-Choice Question Generation
Mitroulias, D., & Sioutas, S. (2026) · Big Data and Cognitive Computing · doi:10.3390/bdcc10010035 · Cited by 6
Abdallah-Ou-Moussa, S., Wynn, M. G., & Rouaine, Z. (2026) · Sustainability · doi:10.3390/su18020991 · Cited by 5
Kiisk, T., Iliopoulos, C. N., Lemsalu, K., & Värnik, R. (2026) · Sustainability · doi:10.3390/su18031671 · Cited by 4
Sports and the natural environment: a scoping review
Liebhart, A., Schmidt, S. L., & Schreyer, D. (2025) · European Sport Management Quarterly · doi:10.1080/16184742.2025.2508969 · Cited by 4
Cultivating Digital Pathways: A Systematic Review of e-Commerce Adoption in Asian Agriculture
Jusoh, A., Abbas, A. F., Yazid, M. H. A., Latip, H. B. A., & Hussin, A. R. C. (2025) · Journal of Agricultural & Food Information · doi:10.1080/10496505.2025.2553282 · Cited by 6
Supporting systematic review workflows in computing: a functional evaluation of electronic databases
Kurdi, G. R. (2025) · Journal of Documentation · doi:10.1108/jd-05-2025-0128 · Cited by 4
Parent-Mediated Behavioural Intervention in Children with Autism Spectrum Disorder: A Scoping Review
Tan, L. W., Hosshan, H., Aziz, N. A., & Jamil, M. R. M. (2024) · International Journal of Disability Development and Education · doi:10.1080/1034912x.2024.2370805 · Cited by 4
Ettadili, H., & Vural, C. (2024) · Applied Biochemistry and Biotechnology · doi:10.1007/s12010-024-05120-0 · Cited by 4
Tu, J., Nacke, L. E., & Rogers, K. (2025) · Interacting with Computers · doi:10.1093/iwc/iwaf001 · Cited by 4
A Systematic Literature Review of Online Collaborative Story Writing
Montanelli, S., & Ruskov, M. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-42286-7_5 · Cited by 8
(2025) · doi:10.1145/3715275.3732087 · Cited by 4
Implementing strategic AI policies for ethical and sustainable smart cities
Okonta, E. D., Rahimian, F. P., Agu, N., & Michael, E. (2025) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2025.076 · Cited by 4
Comparative Analysis of Sentence Transformers for Reference Paper Collection in Five Academic Fields
Fahrudin, T. M., Funabiki, N., Brata, K. C., Noprianto, N., Muhaimin, A., & Hindrayani, K. M. (2025) · International Conference on Computational Intelligence and Intelligent Systems (CIIS) · doi:10.1145/3787256.3787277 · Cited by 3
Khan, M. A., Pan, H. X., & Lin, Z. (2026) · Hydrogen · doi:10.3390/hydrogen7030090 · Cited by 3
Su, F., Beh, W. F., & Lee, K. C. S. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.107353 · Cited by 7
Metadata
- Authors
- Gusenbauer, M.
- Affiliations
- Universität Innsbruck (AT)
- Corresponding author
- Gusenbauer, Michael
- ORCID
- Gusenbauer, Michael
- Venue
- Scientometrics
- Published
- 2022-05
- Volume
- 127
- Issue
- 5
- Pages
- 2683-2745
- ISSN
- 0138-9130 (ISSN-L)
- 1588-2861
- PMC
- PMC9075928
- OpenAlex
- W4229045617
- Cited by
- 211
- References
- 58
- Citations by year
- 2026: 70 · 2025: 58 · 2024: 53 · 2023: 27 · 2022: 3
- FWCI
- 21.28
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Scientometrics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Digital Library of the University of Innsbruck (University of Innsbruck) (submittedVersion, cc-by)
- Funders
- University of Innsbruck and Medical University of Innsbruck
- Topics
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Social Sciences › Library and Information Sciences › Library Science and Information
- Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
- Keywords
- bibliographic databases, subject coverage, database comparison, search engine coverage, Google Scholar, Scopus, Web of Science, Embase, Europe PMC, PubMed, database selection, systematic reviews, open access databases
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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