Evidence map›Paper›PMID 30930504›Full record

ArticleScientometrics2019

The ability of different peer review procedures to flag problematic publications.

S P J M Horbach, W Halffman

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Is the future of peer review automated?BMC research notes · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Innovative Strategies for Peer Review.Journal of Korean medical science · 2020
    Article
  12. The limitations to our understanding of peer review.Research integrity and peer review · 2020
    Review
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

S P J M Horbach1Institute for Science in Society, Faculty of Science, Radboud University, P.O. box 9010, 6500 GL Nijmegen, The Netherlands.ORCID 0000-0003-0406-6261
W Halffman1Institute for Science in Society, Faculty of Science, Radboud University, P.O. box 9010, 6500 GL Nijmegen, The Netherlands.ORCID 0000-0002-1800-5884

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Peer reviewResearch integrityRetractionsScientific publishing

Identifiers

PMID30930504
PMCPMC6404393

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.