Evaluating Registered Reports: A Naturalistic Comparative Study of Article Impact
Open accessAbstract
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.
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Cites
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Initial evidence suggests that Registered Reports are cited as often or even more than other articles in the same journals.
“and (2) cited as often or even more than other articles in the same journals 28 .”
From Initial evidence of research quality of registered reports compared with the standard publishing model (2021) · cites this paper as [28]
There is initial evidence that the ultimate acceptance rate for RRs is higher than traditional papers.
“There is initial evidence that the ultimate acceptance rate for RRs is higher than traditional papers 28”
From Initial evidence of research quality of registered reports compared with the standard publishing model (2021) · cites this paper as [28]
Initial evidence against the just-world hypothesis is that an initial investigation of altmetric and citation impact suggests no difference or slightly better performance for RRs compared to similar articles published at the same time in the same journals.
“Initial evidence against the just-world hypothesis is that an initial investigation of altmetric and citation impact suggests no difference or slightly better performance for RRs compared to similar articles published at the same time in the same journals 28”
From Initial evidence of research quality of registered reports compared with the standard publishing model (2021) · cites this paper as [28]
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- Authors
- Hopun, L. T., Singleton Thorn, F., Nosek, B. A., & Errington, T. M.
- Affiliations
- Center for Open Science (US)
- Publisher
- Center for Open Science
- 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
- green
- doi.org
- 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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