Evidence map›Paper›PMID 36733982›Full record

ArticleJournal of the American Academy of Orthopaedic Surgeons. Global research & reviews2022

Orthopaedic Program Reputation and Association With Social Media Utilization and Engagement.

Peter Y Joo, Jay Moran, Christopher Wilhelm, John Ready, Lee E Rubin, Jonathan N Grauer

Abstract read
In one paragraph

Article in Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

6 authors.

Peter Y JooFrom the Department of Orthopaedics and Rehabilitation Yale School of Medicine, New Haven, CT.
Jay Moran
Christopher Wilhelm
John Ready
Lee E Rubin
Jonathan N GrauerORCID 0000-0002-2626-7278

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundThe associations of orthopaedic social media metrics with US News & World Report (USNWR) scores have not been well defined and are the focus of this study.

methodsOrthopaedic surgery departments and residency programs were matched to the USNWR overall orthopaedic score and professional opinion subscore. Corresponding Instagram and Twitter accounts were evaluated for the number of followers, number following, and posts. Correlations between these metrics and rank/reputation were assessed. Pearson correlations and Student t tests were used with significance set at P < 0.05.

resultsOf the 192 departments associated with residency programs, there were social media accounts for 150 (78.1%) and USNWR rankings for 186 (96.9%), with an overlap of 147 (76.6%). Instagram accounts were identified for 138 (93.9%) and Twitter accounts for 85 (57.8%). Correlations were highest for the opinion subscore and number of followers (Instagram department R = 0.894, Instagram residency R = 0.338, Twitter department R = 0.808, and Twitter residency R = 0.878, P < 0.001 for each), less for the number of posts (Instagram department R = 0.590, Twitter department R = 0.521, and Twitter residency R = 0.696, P < 0.001 for each).

conclusionSocial media metrics correlated with USNWR scores. Focusing on such social media platforms may help further the reputation, audience engagement, and ranking of orthopaedic departments and residencies.

Indexed as

Internship and ResidencyOrthopedicsSocial MediaHospital DepartmentsHumans

Identifiers

PMID36733982
PMCPMC9649274

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.