Evidence map›Paper›PMID 35050426›Full record

ArticleInsights into imaging2022

Comprehensive analysis of Twitter usage during a major medical conference held virtually versus in-person.

Nedim Christoph Beste, Xue Davis, Roman Kloeckner, Erkan Celik, Michael Korenkov, David Maintz, Thomas Dratsch, Daniel Pinto Dos Santos

Abstract read
In one paragraph

Article in Insights into imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. [Role of social media in radiology].Radiologie (Heidelberg, Germany) · 2025
    Article
  2. Article
  3. Article
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

8 authors.

Nedim Christoph BesteInstitute of Diagnostic and Interventional Radiology, University Hospital of Cologne, Kerpener Strasse 62, 50937, Cologne, Germany. nedim25@icloud.com.ORCID http://orcid.org/0000-0001-5420-1199
Xue DavisDepartment of Psychiatry, Yale University School of Medicine, 1 Church St. Ste 6A, New Haven, CT, 06510, USA.
Roman KloecknerDepartment of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstraße 1, 55131, Mainz, Germany.
Erkan CelikInstitute of Diagnostic and Interventional Radiology, University Hospital of Cologne, Kerpener Strasse 62, 50937, Cologne, Germany.
Michael KorenkovFaculty of Medicine and University Hospital of Cologne, Institute of Virology, University of Cologne, Kerpener Strasse 62, 50937, Cologne, Germany.
David MaintzInstitute of Diagnostic and Interventional Radiology, University Hospital of Cologne, Kerpener Strasse 62, 50937, Cologne, Germany.
Thomas Dratsch *Institute of Diagnostic and Interventional Radiology, University Hospital of Cologne, Kerpener Strasse 62, 50937, Cologne, Germany.
Daniel Pinto Dos Santos *Institute of Diagnostic and Interventional Radiology, University Hospital of Cologne, Kerpener Strasse 62, 50937, Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTwitter has become one of the most important social media platforms in science communication. During scientific conferences, Twitter can facilitate the communication between audience and speakers present at the venue and can extend the reach of a conference to participants following along from home. To examine whether Twitter activity can serve as a surrogate parameter for attendance at the RSNA conferences in 2019 and in 2020, and to characterize changes in topics discussed due to the virtual character of the 2020 RSNA conference.

methodsThe Twitter API and R Studio were used to analyze the absolute number and frequency of tweets, retweets, and conference-related hashtags during the 2019 and 2020 RSNA conference. Topics of discussion were compared across years by visualizing networks of co-occurring hashtags.

resultsThere was a 46% decrease in total tweets and a 39% decrease in individual Twitter users in 2020, mirroring a 43% decrease in registered attendees during the virtual conference. Hashtags related to social initiatives in radiology (e.g., "#radxx" and "#womeninradiology" for promoting women's empowerment in radiology or "#pinksocks," "#weareradiology" and "#diversityisgenius" for diversity in general) were less frequently used in 2020 than in 2019.

conclusionTwitter and congress attendance were highly related and interpersonal topics underwent less discussion during the virtual meeting. Overall engagement during the virtual conference in 2020 was lower compared to the in-person conference in 2019.

Indexed as

Medical conferencesRSNAScience communicationSocial mediaTwitter

Identifiers

PMID35050426
PMCPMC8771182

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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.