Evidence map›Paper›PMID 42182889›Full record

ArticleArthroplasty today2026

Citation Velocity and Social Media Impact Analysis of Hip and Knee Arthroplasty Randomized Controlled Trials.

James R Temple, Nadim Barakat, Logan S Carpenter, Wendy M Novicoff, James A Browne

Abstract read
In one paragraph

Article in Arthroplasty today, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

James R TempleDepartment of Orthopaedic Surgery, University of Virginia, Charlottesville, VA, USA.
Nadim BarakatDepartment of Orthopedic Surgery, Virginia Commonwealth University, Richmond, VA, USA.
Logan S CarpenterDepartment of Orthopaedic Surgery, University of Virginia, Charlottesville, VA, USA.
Wendy M NovicoffDepartment of Public Health Sciences and Orthopaedic Surgery, University of Virginia, Charlottesville, VA, USA.
James A BrowneDepartment of Orthopaedic Surgery, University of Virginia, Charlottesville, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Randomized controlled trials (RCTs) remain crucial in establishing evidence-based care, yet little is known about which studies drive the most academic and public attention. This study aimed to identify the most impactful hip and knee arthroplasty RCTs published from 2014 through 2023 using traditional citation metrics and Altmetric data as well as determining study characteristics associated with greater impact. Methods: Clinically oriented hip and knee arthroplasty RCTs were identified and analyzed from 4 leading orthopedic journals published from 2014 through 2023. Article impact was assessed by citation velocity (citations per year) and Altmetric Attention Scores (AAS). Inequality in citation and AAS distributions was measured using Gini coefficients. Mann-Whitney U tests were used to explore associations between impact metrics and study characteristics such as funding and the presence of statistically significant findings. Results: Among the 566 RCTs, the mean citation velocity was 5.3 citations per year, and the mean AAS was 12.3. Citation velocity and AAS were weakly correlated (r = 0.34, Conclusions: The impact of hip and knee arthroplasty RCTs is highly skewed, with a small number of articles receiving a disproportionate amount of attention. Importantly, RCTs with statistically significant results were more likely to be cited, suggesting that favorable findings may disproportionately shape the arthroplasty literature.

Indexed as

Arthroplasty researchBibliometric analysisImpactRandomized controlled trials

Identifiers

PMID42182889
PMCPMC13197701

What OpenQuestion holds

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Registered trials

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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.