Evidence map›Paper›PMID 33602536›Full record

ArticleCurrent problems in diagnostic radiology

Characterization of the #Radiology Twitter Conversation During the Global COVID-19 Pandemic.

Maegan K G Lazaga, Joshua D Dowell, Mina S Makary

Abstract read
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Article in Current problems in diagnostic radiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

3 authors.

Maegan K G LazagaDepartment of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH. Electronic address: Maegan.Lazaga@osumc.edu.
Joshua D DowellNorthwest Radiology, St. Vincent Health, Indianapolis, IN.
Mina S MakaryDepartment of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the #Radiology conversation on Twitter social media platform during the COVID-19 pandemic. MATERIALS AND

methodsFrom February 1 to December 31, 2020, all tweets with a #Radiology hashtag were identified using the healthcare social media analytics tool, Symplur Signals. Data collected included number of tweets, retweets, impressions, links, and user characteristics. Data were stratified by the presence of a COVID-19-related keyword, and a social media network analysis was further performed.

resultsOf the 68,172 tweets, 10,093 contained COVID-19 content from 2809 users generating 65,513,669 impressions. More tweets with COVID-19 content contained links than without (P < 0.01). Network analysis demonstrated most users were physicians (48.10%), authoring the most tweets (40.38%), using the most mentions (32.15%), and retweeting the most (51.45%). The most impressions, however, were by healthcare organizations not providing clinical care (20,235,547 impressions, 30.89%). Users came from 80 countries, most from the United States (29.3%) and the United Kingdom (8.69%). During early March, COVID-19 dominated the #Radiology conversation, making up 54.67% of tweets the week of March 14 and 64.74% of impressions the week of March 21 compared to 13.97% of tweets and 16.76% of impressions in the remainder of the study period (P < 0.01).There was an influx of new users to the #Radiology conversation during this time period with more users tweeting about COVID-19 than not (P < 0.01).

conclusionDiscussion of COVID-19 in the #Radiology community increased significantly during the early weeks of the pandemic. Real time sharing and collaboration proved a useful tool when rapid information dissemination was needed to manage an emerging pathogen.

Indexed as

COVID-19HumansInformation DisseminationPandemicsRadiologySARS-CoV-2Social Media

Identifiers

PMID33602536
PMCPMC9759592

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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.