PreprintCited by 29scientometrics and bibliometrics researchPsychology Research and BibliometricsAcademic Publishing and Open Access

Evaluating Registered Reports: A Naturalistic Comparative Study of Article Impact

Open access
Hopun, Lilian T., Singleton Thorn, Felix, Nosek, Brian A., Errington, Timothy M.·2017

Abstract

Registered Reports (RRs) is a publishing model in which initial peer review is conducted prior to knowing the outcomes of the research. In-principle acceptance of papers at this review stage combats publication bias, and provides a clear distinction between confirmatory and exploratory research. Some editors raise a practical concern about adopting RRs. By reducing publication bias, RRs may produce more negative or mixed results and, if such results are not valued by the research community, receive less citations as a consequence. If so, by adopting RRs, a journal’s impact factor may decline. Despite known flaws with impact factor, it is still used as a heuristic for judging journal prestige and quality. Whatever the merits of considering impact factor as a decision-rule for adopting RRs, it is worthwhile to know whether RRs are cited less than other articles. We will conduct a naturalistic comparison of citation and altmetric impact between published RRs and comparable empirical articles from the same journals.

Integrity signals

Registry

Crossref · 10.31219/osf.io/5y8w7

Cites

32 of 32 references verified0 citation errors · 0 not checkable

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Authors
Hopun, L. T., Singleton Thorn, F., Nosek, B. A., & Errington, T. M.
Affiliations
Center for Open Science (US)
Published
2017-12-04
OpenAlex
W2777107367
Cited by
29
References
32
Citations by year
2025: 3 · 2024: 2 · 2023: 7 · 2022: 3 · 2021: 7 · 2020: 5 · 2019: 1 · 2018: 1
Type
posted content
Language
en
Open access
Locations
  • OSF Preprints (OSF Preprints) (submittedVersion)
  • OSF Preprints (OSF Preprints) (submittedVersion, cc-by)
  • OSF Preprints (OSF Preprints) (submittedVersion, public-domain)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
  • Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
Keywords
impact factor, citation impact, altmetrics, publication bias, pre-registered study, journal prestige, negative results, exploratory research

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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