Evidence map›Paper›PMID 29410855›Full record

ArticleRoyal Society open science2018

Modelling science trustworthiness under publish or perish pressure.

David Robert Grimes, Chris T Bauch, John P A Ioannidis

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 3 pooled it
20.7field-weighted citation impact, top 1% of its field
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

55 citing papers in PubMed, 3 syntheses or guidelines pooled it, 224 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The Cooperation Databank: Machine-Readable Science Accelerates Research Synthesis.Perspectives on psychological science : a journal of the Association for Psychological Science · 2022
    Pooled it
  4. Article
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  9. Article
  10. Review
  11. Article
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  14. Article
  15. Article
  16. Why do 'Trustworthy' Living Systematic Reviews Matter?The Journal of manual & manipulative therapy · 2023
    Article
  17. Article
  18. Article
  19. Predicting treatment outcome in depression: an introduction into current concepts and challenges.European archives of psychiatry and clinical neuroscience · 2023
    Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 3 countries.

David Robert GrimesSchool of Mathematics and Physics, Queen's University Belfast, BT7 1NN, UK.ORCID 0000-0003-3140-3278
Chris T BauchDepartment of Applied Mathematics, University of Waterloo, 200 University Avenue W, Waterloo, Ontario, Canada N2L 3G1.ORCID 0000-0001-6214-6601
John P A IoannidisMeta-Research Innovation Center at Stanford (METRICS), Stanford University, SPRC, MSOB X306, 1265 Welch Road, Stanford, CA 94305, USA.
Queen's University Belfast · GBStanford University · USUniversity of Waterloo · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scientific publication is immensely important to the scientific endeavour. There is, however, concern that rewarding scientists chiefly on publication creates a perverse incentive, allowing careless and fraudulent conduct to thrive, compounded by the predisposition of top-tier journals towards novel, positive findings rather than investigations confirming null hypothesis. This potentially compounds a reproducibility crisis in several fields, and risks undermining science and public trust in scientific findings. To date, there has been comparatively little modelling on factors that influence science trustworthiness, despite the importance of quantifying the problem. We present a simple phenomenological model with cohorts of diligent, careless and unethical scientists, with funding allocated by published outputs. This analysis suggests that trustworthiness of published science in a given field is influenced by false positive rate, and pressures for positive results. We find decreasing available funding has negative consequences for resulting trustworthiness, and examine strategies to combat propagation of irreproducible science.

Indexed as

public trust in sciencepublish or perishresearch ethicsresearch fraudscience trustworthiness

Identifiers

PMID29410855
PMCPMC5792932
OpenAlexW2949716378

What OpenQuestion holds

Textmetadata
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.