Evidence map›Paper›PMID 38486514›Full record

ArticleMedEdPublish (2016)2021

#MedTwitter: An Open Source Medical Community.

Ethan Fieger, Kristen Fadel

Abstract read
In one paragraph

Article in MedEdPublish (2016), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

2 authors.

Ethan FiegerVirginia Commonwealth University.
Kristen FadelVirginia Commonwealth University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article was migrated. The article was marked as recommended. As social media platforms such as Twitter become increasingly utilized by physicians, students, and researchers for professional use, it is important to further the discussion about the role of these sites in medicine. Here, we focus on the hashtag #MedTwitter, which consists of an online community of researchers, practitioners, students, and professionals who have created an open source, decentralized forum for information share, medical education, and professional networking. #MedTwitter also provides a space for publications to be shared, promoted, and discussed, which has proven particularly useful in the setting of the Covid-19 pandemic. #MedTwitter comes with its challenges, potential for abuse, and the spread of misinformation. Thus, further research and discussion will be critical in exploring the future of #MedTwitter and social media in healthcare.

Indexed as

Covid-19HashtagMedical Education#MedTwitterNetworkingSocial MediaTwitter

Identifiers

PMID38486514
PMCPMC10939582

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.