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Scientific citations favor positive results: a systematic review and meta-analysis.
Open accessAbstract
Objectives Citation bias concerns the selective citation of scientific articles based on their results. We brought together all available evidence on citation bias across scientific disciplines and quantified its impact.Study design and setting An extensive search strategy was applied to the Web of Science Core Collection and Medline, yielding 52 studies in total. We classified these studies on scientific discipline, selection method, and other variables. We also performed random-effects meta-analyses to pool the effect of positive vs. negative results on subsequent citations. Finally, we checked for other determinants of citation as reported in the citation bias literature.Results Evidence for the occurrence of citation bias was most prominent in the biomedical sciences and least in the natural sciences. Articles with statistically significant results were cited 1.6 (95% confidence interval [CI] 1.3-1.8) times more often than articles with nonsignificant results. Articles in which the authors explicitly conclude to have found support for their hypothesis were cited 2.7 (CI 2.0-3.7) times as often. Article results and journal impact factor were associated with citation more often than any other reported determinant.Conclusion Similar to what we already know on publication bias, also citation bias can lead to an overrepresentation of positive results and unfounded beliefs.
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“Furthermore, the tendency of journals to favor AI studies with positive results—especially those that demonstrate superior performance—skews the published literature, giving an incomplete view of the AI landscape [109].”
From Bias in medical AI: Implications for clinical decision-making (2024) · cites this paper as [109]
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“and cited more frequently by others (citation bias) 19”
From Investigating and dealing with publication bias and other reporting biases in meta-analyses of health research: a review (2021) · cites this paper as [19]
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Metadata
- Authors
- Duyx, B., Urlings, M. J. E., Swaen, G. M. H., Bouter, L. M., & Zeegers, M. P.
- Affiliations
- Maastricht University (NL)
- Vrije Universiteit Amsterdam (NL)
- Corresponding author
- Duyx, Bram
- Venue
- Journal of Clinical Epidemiology
- Publisher
- Elsevier BV
- Published
- 2017-08
- Volume
- 88
- Pages
- 92-101
- ISSN
- 0895-4356 (ISSN-L)
- OpenAlex
- W2623032108
- Cited by
- 197
- References
- 66
- Citations by year
- 2026: 15 · 2025: 20 · 2024: 17 · 2023: 27 · 2022: 28 · 2021: 39 · 2020: 19 · 2019: 19 · 2018: 11 · 2017: 2
- FWCI
- 3.43
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Clinical Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Pure Amsterdam UMC (submittedVersion)
- VU Research Portal (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- European Chemical Industry Council
- Topics
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Library and Information Sciences › Academic Publishing and Open Access
- Keywords
- citation bias, publication bias, positive results, non-significant results, scientific citations, journal impact factor, hypothesis confirmation, scientific disciplines
- MeSH terms
- Humans, Periodicals as Topic, Publication Bias, Journal Impact Factor
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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