ArticleScientometrics2019
The ability of different peer review procedures to flag problematic publications.
Article in Scientometrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Scientific retractions: causes, processes, and implications for research integrity.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Shaping the Field: A Review of the Use of Theory in Research on Research Integrity.Science and engineering ethics · 2026Review
- Variability among large language models in assessing CONSORT compliance of published randomized clinical trials.PloS one · 2026Article
- Use as directed? A comparison of software tools intended to check rigor and transparency of published work.PloS one · 2026Article
- Woodward and Hoffmann on Secondary Orbital Interactions. How to Make a Fine Two-Course Meal from Leftovers.Chemical record (New York, N.Y.) · 2025Review
- Peer Review in Pharmacovigilance: Lens on Disproportionality Analysis.Drug safety · 2024Article
- Is the future of peer review automated?BMC research notes · 2022Article
- Comprehensive analysis of retracted journal articles in the field of veterinary medicine and animal health.BMC veterinary research · 2022Article
- Open science saves lives: lessons from the COVID-19 pandemic.BMC medical research methodology · 2021Article
- Determinants of individuals' belief in fake news: A scoping review determinants of belief in fake news.PloS one · 2021Article
- Innovative Strategies for Peer Review.Journal of Korean medical science · 2020Article
- The limitations to our understanding of peer review.Research integrity and peer review · 2020Review
- Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is a mounting worry about erroneous and outright fraudulent research that gets published in the scientific literature. Although peer review's ability to filter out such publications is contentious, several peer review innovations attempt to do just that. However, there is very little systematic evidence documenting the ability of different review procedures to flag problematic publications. In this article, we use survey data on peer review in a wide range of journals to compare the retraction rates of specific review procedures, using the Retraction Watch database. We were able to identify which peer review procedures were used since 2000 for 361 journals, publishing a total of 833,172 articles, of which 670 were retracted. After addressing the dual character of retractions, signalling both a failure to identify problems prior to publication, but also the willingness to correct mistakes, we empirically assess review procedures. With considerable conceptual caveats, we were able to identify peer review procedures that seem able to detect problematic research better than others. Results were verified for disciplinary differences and variation between reasons for retraction. This leads to informed recommendations for journal editors about strengths and weaknesses of specific peer review procedures, allowing them to select review procedures that address issues most relevant to their field.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.