Evidence map›Paper›PMID 33030380›Full record

ArticleCirculation. Arrhythmia and electrophysiology2020

Social Media Influence Does Not Reflect Scholarly or Clinical Activity in Real Life.

Brian Zenger, J Michael Swink, Jeffrey L Turner, T Jared Bunch, John J Ryan, Rashmee U Shah, Mintu P Turakhia, Jonathan P Piccini, Benjamin A Steinberg

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Circulation. Arrhythmia and electrophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Brian ZengerDivision of Cardiovascular Medicine, University of Utah Health Sciences Center, Salt Lake City (B.Z., J.M.S., J.L.T., T.J.B., J.J.R., R.U.S., B.A.S.).
J Michael SwinkDivision of Cardiovascular Medicine, University of Utah Health Sciences Center, Salt Lake City (B.Z., J.M.S., J.L.T., T.J.B., J.J.R., R.U.S., B.A.S.).
Jeffrey L TurnerDivision of Cardiovascular Medicine, University of Utah Health Sciences Center, Salt Lake City (B.Z., J.M.S., J.L.T., T.J.B., J.J.R., R.U.S., B.A.S.).
T Jared BunchDivision of Cardiovascular Medicine, University of Utah Health Sciences Center, Salt Lake City (B.Z., J.M.S., J.L.T., T.J.B., J.J.R., R.U.S., B.A.S.).
John J RyanDivision of Cardiovascular Medicine, University of Utah Health Sciences Center, Salt Lake City (B.Z., J.M.S., J.L.T., T.J.B., J.J.R., R.U.S., B.A.S.).
Rashmee U ShahDivision of Cardiovascular Medicine, University of Utah Health Sciences Center, Salt Lake City (B.Z., J.M.S., J.L.T., T.J.B., J.J.R., R.U.S., B.A.S.).
Mintu P TurakhiaStanford University School of Medicine, Palo Alto, CA (M.P.T.).
Jonathan P PicciniDuke University Medical Center, Duke Clinical Research Institute, Durham, NC (J.P.P.).
Benjamin A SteinbergDivision of Cardiovascular Medicine, University of Utah Health Sciences Center, Salt Lake City (B.Z., J.M.S., J.L.T., T.J.B., J.J.R., R.U.S., B.A.S.).

Funding

Optimizing Outcomes for Patients with Heart Failure and Atrial FibrillationK23HL143156 · NHLBI · UNIVERSITY OF UTAH · PI STEINBERG, BENJAMIN ADAM · 2018 to 2022
$951k
Novel Characterization and Detection Techniques for Acute Myocardial IschemiaF30HL149327 · NHLBI · UNIVERSITY OF UTAH · PI ZENGER, BRIAN · 2020 to 2022
$117k
NHLBI NIH HHS F30 HL149327NHLBI NIH HHS K23 HL143156
6 · The paper itself

Abstract

backgroundSocial media has become a major source of communication in medicine. We aimed to understand the relationship between physicians' social media influence and their scholarly and clinical activity.

methodsWe identified attending US electrophysiologists on Twitter. We compared physician Twitter activity to (1) scholarly publication record (h-index) and (2) clinical volume according to Centers for Medicare and Medicaid Services. The ratio of observed versus expected (obs/exp) Twitter followers was calculated based on each scholarly (K-index) and clinical activity.

resultsWe identified 284 physicians, with mean Twitter age of 5.0 (SD, 3.1) years and median 568 followers (25th, 75th: 195, 1146). They had a median 34.5 peer-reviewed articles (25th, 75th: 14, 105), 401 citations (25th, 75th: 102, 1677), and h-index 9 (25th, 75th: 4, 19.8). The median K-index was 0.4 (25th, 75th: 0.15, 1.0), ranging from 0.0008 to 29.2. The median number of electrophysiology procedures was 77 (25th, 75th: 0, 160) and evaluation and management visits 264 (25th, 75th: 59, 516) in 2017. The top 1% electrophysiologists for followers accounted for 20% of all followers, 17% of status updates, had a mean h-index of 6 (versus 15 for others,

conclusionsElectrophysiologists are active on Twitter, with modest influence often representative of scholarly and clinical activity. However, the most influential physicians appear to have relatively modest scholarly and clinical activity.

Indexed as

Biomedical ResearchCardiac ElectrophysiologyElectrophysiologic Techniques, CardiacPeer InfluenceScholarly CommunicationSocial MediaWorkloadAuthorshipHumansPeriodicals as TopicelectrophysiologyMedicarepublicationsocial media

Identifiers

PMID33030380
PMCPMC7674208

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.