Evidence map›Paper›PMID 29774233›Full record

ArticleScience advances2018

Prepublication disclosure of scientific results: Norms, competition, and commercial orientation.

Jerry G Thursby, Carolin Haeussler, Marie C Thursby, Lin Jiang

Abstract read
In one paragraph

Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Social Media and the Dissemination of Prepublication Data in Surgical Fields.Plastic and reconstructive surgery. Global open · 2019
    Article
  5. Promises and perils of gene drives: Navigating the communication of complex, post-normal science.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
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

4 authors.

Jerry G ThursbyLaboratory for Innovation Science at Harvard, Cambridge, MA 02138, USA.ORCID 0000-0001-8527-6820
Carolin HaeusslerUniversity of Passau, 94032 Passau, Germany.ORCID 0000-0002-3505-010X
Marie C ThursbyLaboratory for Innovation Science at Harvard, Cambridge, MA 02138, USA.ORCID 0000-0002-1721-0800
Lin JiangUniversity of Missouri, Columbia, MO 65218, USA.ORCID 0000-0002-0722-5806

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

On the basis of a survey of 7103 active faculty researchers in nine fields, we examine the extent to which scientists disclose prepublication results, and when they do, why? Except in two fields, more scientists disclose results before publication than not, but there is significant variation in their reasons to disclose, in the frequency of such disclosure, and in withholding crucial results when making public presentations. They disclose results for feedback and credit and to attract collaborators. Particularly in formulaic fields, scientists disclose to attract new researchers to the field independent of collaboration and to deter others from working on their exact problem. A probability model shows that 70% of field variation in disclosure is related to differences in respondent beliefs about norms, competition, and commercialization. Our results suggest new research directions-for example, do the problems addressed or the methods of scientific production themselves shape norms and competition? Are the levels we observe optimal or simply path-dependent? What is the interplay of norms, competition, and commercialization in disclosure and the progress of science?

Indexed as

DisclosurePublicationsHumansPublishingResearch

Identifiers

PMID29774233
PMCPMC5955623

What OpenQuestion holds

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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.