Effect Sizes Reported in Highly Cited Emotion Research Compared With Larger Studies and Meta-Analyses Addressing the Same Questions is a research paper published in Clinical Psychological Science (2021). On theSindex it has a DataRank of 0.241. It has been cited 4 times.
We assessed whether the most highly cited studies in emotion research reported larger effect sizes compared with meta-analyses and the largest studies on the same question. We screened all reports with at least 1,000 citations and identified matching meta-analyses for 40 highly cited observational studies and 25 highly cited experimental studies. Highly cited observational studies had effects greater on average by 1.42-fold (95% confidence interval [CI] = [1.09, 1.87]) compared with meta-analyses and 1.99-fold (95% CI = [1.33, 2.99]) compared with largest studies on the same questions. Highly cited experimental studies had increases of 1.29-fold (95% CI = [1.01, 1.63]) compared with meta-analyses and 2.02-fold (95% CI = [1.60, 2.57]) compared with the largest studies. There was substantial between-topics heterogeneity, more prominently for observational studies. Highly cited studies often did not have the largest weight in meta-analyses (12 of 65 topics, 18%) but were frequently the earliest ones published on the topic (31 of 65 topics, 48%). Highly cited studies may offer, on average, exaggerated estimates of effects in both observational and experimental designs.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.241
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 100% comes from its base citations and 0% from the citation network.
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.