Evidence map›Paper›PMID 29138317›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Reviewer bias in single- versus double-blind peer review.

Andrew Tomkins, Min Zhang, William D Heavlin

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing 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

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

  1. Exploring Gender Bias in Six Key Domains of Academic Science: An Adversarial Collaboration.Psychological science in the public interest : a journal of the American Psychological Society · 2023
    Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. How gender determines the way we speak about professionals.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Trial
  7. Article
  8. Article
  9. Review
  10. Article
  11. Double anonymous peer review inJournal of vascular surgery cases and innovative techniques · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Diversity, Equity, and Inclusion in Biomedical Research and Publishing.Indian journal of psychological medicine · 2026
    Article
  16. Geographical diversity of peer reviewers shapes author success.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Decentralized knowledge assessment.Innovation (Cambridge (Mass.)) · 2025
    Article
  18. Understanding author choices in the current conservation publishing landscape.Conservation biology : the journal of the Society for Conservation Biology · 2025
    Article
  19. The present and future of peer review: Ideas, interventions, and evidence.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  20. Article

42 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Andrew TomkinsGoogle, Inc., Mountain View, CA 94043; atomkins@gmail.com.ORCID 0000-0002-1611-9255
Min ZhangState Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China.
William D HeavlinGoogle, Inc., Mountain View, CA 94043.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peer review may be "single-blind," in which reviewers are aware of the names and affiliations of paper authors, or "double-blind," in which this information is hidden. Noting that computer science research often appears first or exclusively in peer-reviewed conferences rather than journals, we study these two reviewing models in the context of the 10th Association for Computing Machinery International Conference on Web Search and Data Mining, a highly selective venue (15.6% acceptance rate) in which expert committee members review full-length submissions for acceptance. We present a controlled experiment in which four committee members review each paper. Two of these four reviewers are drawn from a pool of committee members with access to author information; the other two are drawn from a disjoint pool without such access. This information asymmetry persists through the process of bidding for papers, reviewing papers, and entering scores. Reviewers in the single-blind condition typically bid for 22% fewer papers and preferentially bid for papers from top universities and companies. Once papers are allocated to reviewers, single-blind reviewers are significantly more likely than their double-blind counterparts to recommend for acceptance papers from famous authors, top universities, and top companies. The estimated odds multipliers are tangible, at 1.63, 1.58, and 2.10, respectively.

Indexed as

Models, StatisticalAuthorshipDouble-Blind MethodEditorial PoliciesFemaleHumansMalePeer Review, ResearchPublication BiasSingle-Blind Methoddouble-blindpeer reviewscientific method

Identifiers

PMID29138317
PMCPMC5715744

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.