Evidence map›Paper›PMID 36395142›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Is novel research worth doing? Evidence from peer review at 49 journals.

Misha Teplitskiy, Hao Peng, Andrea Blasco, Karim R Lakhani

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. The institutional dynamics of inequality for women inventors who break with conventional thinking.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Review
  5. Article
  6. Geographical diversity of peer reviewers shapes author success.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Evaluating interdisciplinary research: Disparate outcomes for topic and knowledge base.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Promotional language and the adoption of innovative ideas in science.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Elements of successful NIH grant applications.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. 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.

Misha TeplitskiySchool of Information, University of Michigan, Ann Arbor, MI 48109.ORCID 0000-0002-2839-7228
Hao PengSchool of Information, University of Michigan, Ann Arbor, MI 48109.ORCID 0000-0002-5668-1680
Andrea BlascoLaboratory for Innovation Science at Harvard, Harvard University, Cambridge, MA 02138.
Karim R LakhaniLaboratory for Innovation Science at Harvard, Harvard University, Cambridge, MA 02138.ORCID 0000-0002-5535-8304

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are long-standing concerns that peer review, which is foundational to scientific institutions like journals and funding agencies, favors conservative ideas over novel ones. We investigate the association between novelty and the acceptance of manuscripts submitted to a large sample of scientific journals. The data cover 20,538 manuscripts submitted between 2013 and 2018 to the journals

Indexed as

Peer Review, ResearchPeriodicals as Topicbiasnoveltypeer reviewpublishing

Identifiers

PMID36395142
PMCPMC9704701

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.