Evidence map›Paper›PMID 34747708›Full record

ArticleJMIR formative research2021

Twitter Use by Academic Nuclear Medicine Programs: Pilot Content Analysis Study.

Ananya Panda, Akash Sharma, Ayca Dundar, Ann Packard, Lee Aase, Amy Kotsenas, Ayse Tuba Kendi

Abstract read
In one paragraph

Article in JMIR formative research, 2021. 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. 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

7 authors.

Ananya Panda *Department of Radiology, Mayo Clinic, Rochester, MN, United States.ORCID https://orcid.org/0000-0003-0862-0741
Akash Sharma *Department of Radiology, Mayo Clinic, Jacksonville, FL, United States.ORCID https://orcid.org/0000-0003-4017-9132
Ayca DundarDepartment of Radiology, Mayo Clinic, Rochester, MN, United States.ORCID https://orcid.org/0000-0002-3128-6801
Ann PackardDepartment of Radiology, Mayo Clinic, Rochester, MN, United States.ORCID https://orcid.org/0000-0002-7919-1887
Lee AaseSocial Media Network, Mayo Clinic, Rochester, MN, United States.ORCID https://orcid.org/0000-0002-5615-7790
Amy KotsenasDepartment of Radiology, Mayo Clinic, Rochester, MN, United States.ORCID https://orcid.org/0000-0003-0463-955X
Ayse Tuba KendiDepartment of Radiology, Mayo Clinic, Rochester, MN, United States.ORCID https://orcid.org/0000-0003-3892-4754

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is scant insight into the presence of nuclear medicine (NM) and nuclear radiology (NR) programs on social media.

objectiveOur purpose was to assess Twitter engagement by academic NM/NR programs in the United States.

methodsWe measured Twitter engagement by the academic NM/NR community, accounting for various NM/NR certification pathways. The Twitter presence of NM/NR programs at both the department and program director level was identified. Tweets by programs were cross-referenced against potential high-yield NM- or NR-related hashtags, and tabulated at a binary level. A brief survey was done to identify obstacles and benefits to Twitter use by academic NM/NR faculty.

resultsFor 2019-2020, 88 unique programs in the United States offered NM/NR certification pathways. Of these, 52% (46/88) had Twitter accounts and 24% (21/88) had at least one post related to NM/NR. Only three radiology departments had unique Twitter accounts for the NM/molecular imaging division. Of the other 103 diagnostic radiology residency programs, only 16% (16/103) had a presence on Twitter and 5% (5/103) had tweets about NM/NR. Only 9% (8/88) of NM/NR program directors were on Twitter, and three program directors tweeted about NM/NR. The survey revealed a lack of clarity and resources around using Twitter, although respondents acknowledged the perceived value of Twitter engagement for attracting younger trainees.

conclusionsCurrently, there is minimal Twitter engagement by the academic NM/NR community. The perceived value of Twitter engagement is counterbalanced by identifiable obstacles. Given radiologists' overall positive views of social media's usefulness, scant social media engagement by the NM community may represent a missed opportunity. More Twitter engagement and further research by trainees and colleagues should be encouraged, as well as the streamlined use of unique hashtags.

Indexed as

medical educationnetworkingnuclear medicinenuclear radiologyradiologysocial mediasocial networkTwitter

Identifiers

PMID34747708
PMCPMC8663684

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.