Evidence map›Paper›PMID 38296328›Full record

ArticleBMJ (Clinical research ed.)2024

Publishers' and journals' instructions to authors on use of generative artificial intelligence in academic and scientific publishing: bibliometric analysis.

Conner Ganjavi, Michael B Eppler, Asli Pekcan, Brett Biedermann, Andre Abreu, Gary S Collins, Inderbir S Gill, Giovanni E Cacciamani

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 1 pooled it
–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

72 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Evolution of Artificial Intelligence Adoption inOrthopaedic journal of sports medicine · 2026
    Article
  4. Article
  5. Provenance, Not Prohibition: A Framework for AI in Scholarly Publishing.Laryngoscope investigative otolaryngology · 2026
    Article
  6. Review
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12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Conner GanjaviKeck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Michael B EpplerKeck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Asli PekcanKeck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Brett BiedermannKeck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Andre AbreuKeck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Gary S CollinsUK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Inderbir S GillKeck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Giovanni E CacciamaniKeck School of Medicine, University of Southern California, Los Angeles, CA, USA Giovanni.cacciamani@med.usc.edu.ORCID 0000-0002-8892-5539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the extent and content of academic publishers' and scientific journals' guidance for authors on the use of generative artificial intelligence (GAI).

designCross sectional, bibliometric study.

settingWebsites of academic publishers and scientific journals, screened on 19-20 May 2023, with the search updated on 8-9 October 2023.

participantsTop 100 largest academic publishers and top 100 highly ranked scientific journals, regardless of subject, language, or country of origin. Publishers were identified by the total number of journals in their portfolio, and journals were identified through the Scimago journal rank using the Hirsch index (H index) as an indicator of journal productivity and impact.

main outcome measuresThe primary outcomes were the content of GAI guidelines listed on the websites of the top 100 academic publishers and scientific journals, and the consistency of guidance between the publishers and their affiliated journals.

resultsAmong the top 100 largest publishers, 24% provided guidance on the use of GAI, of which 15 (63%) were among the top 25 publishers. Among the top 100 highly ranked journals, 87% provided guidance on GAI. Of the publishers and journals with guidelines, the inclusion of GAI as an author was prohibited in 96% and 98%, respectively. Only one journal (1%) explicitly prohibited the use of GAI in the generation of a manuscript, and two (8%) publishers and 19 (22%) journals indicated that their guidelines exclusively applied to the writing process. When disclosing the use of GAI, 75% of publishers and 43% of journals included specific disclosure criteria. Where to disclose the use of GAI varied, including in the methods or acknowledgments, in the cover letter, or in a new section. Variability was also found in how to access GAI guidelines shared between journals and publishers. GAI guidelines in 12 journals directly conflicted with those developed by the publishers. The guidelines developed by top medical journals were broadly similar to those of academic journals.

conclusionsGuidelines by some top publishers and journals on the use of GAI by authors are lacking. Among those that provided guidelines, the allowable uses of GAI and how it should be disclosed varied substantially, with this heterogeneity persisting in some instances among affiliated publishers and journals. Lack of standardization places a burden on authors and could limit the effectiveness of the regulations. As GAI continues to grow in popularity, standardized guidelines to protect the integrity of scientific output are needed.

Indexed as

Artificial IntelligencePeriodicals as TopicBibliometricsCross-Sectional StudiesHumansPublishing

Identifiers

PMID38296328
PMCPMC10828852

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.