Evidence map›Paper›PMID 32782065›Full record

ArticleeLife2020

Changing how we evaluate research is difficult, but not impossible.

Anna Hatch, Stephen Curry

Abstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. "Frontiers in medicine · 2025
    Article
  7. Article
  8. Improving academic mentorship practices.Nature human behaviour · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Journal impact factors and the future of open access publishing.Journal of applied clinical medical physics · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article-Level Metrics.Journal of Korean medical science · 2021
    Review
  19. 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

2 authors.

Anna HatchDORA, Rockville, United States.ORCID 0000-0002-2111-3237
Stephen CurryImperial College, London, United Kingdom.ORCID 0000-0002-0552-8870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The San Francisco Declaration on Research Assessment (DORA) was published in 2013 and described how funding agencies, institutions, publishers, organizations that supply metrics, and individual researchers could better evaluate the outputs of scientific research. Since then DORA has evolved into an active initiative that gives practical advice to institutions on new ways to assess and evaluate research. This article outlines a framework for driving institutional change that was developed at a meeting convened by DORA and the Howard Hughes Medical Institute. The framework has four broad goals: understanding the obstacles to changes in the way research is assessed; experimenting with different approaches; creating a shared vision when revising existing policies and practices; and communicating that vision on campus and beyond.

Indexed as

Evaluation Studies as TopicAccess to InformationBiomedical ResearchHumansOrganizational Policycareers in scienceculture changeinstitutional changenoneresearch assessmentresearch culture

Identifiers

PMID32782065
PMCPMC7423335

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.