Evidence map›Paper›PMID 33527783›Full record

ReviewJournal of Korean medical science2021

Preparing Infographics for Post-publication Promotion of Research on Social Media.

Mrudula Joshi, Latika Gupta

Abstract readReview
In one paragraph

Review in Journal of Korean medical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. From Research to Knowledge Translation: Co-Producing Resources to Raise Awareness of Meals on Wheels in England.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  5. Review
  6. Developing Infographics to Present Research Findings from CBPR to Latinx Farmworker Community Members.Progress in community health partnerships : research, education, and action · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Modern Health Journalism and the Impact of Social Media.Journal of Korean medical science · 2021
    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

2 authors.

Mrudula JoshiByramjee Jeejeebhoy Government Medical College and Sassoon General Hospitals, Pune, India.ORCID https://orcid.org/0000-0001-7312-351X
Latika GuptaDepartment Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India. drlatikagupta@gmail.com.ORCID https://orcid.org/0000-0003-2753-2990

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infographics are pictorial representations of information intended to disseminate information quickly and clearly. Their use has increased in the past decade due to wider and easy access to technology. Infographics are being increasingly used for public advisories, disseminating protocols for healthcare professionals, and post-publication promotion of research. Due to their potential to rapidly reach a vast audience, these have gained larger importance during the coronavirus disease 2019 pandemic. Two key aspects determine the quality of infographics, content and visual appeal. In this brief, the authors attempt to delineate the key aspects of designing an infographic, and the freeware that they may have at their disposal for creating informative, appealing, and useful infographics.

Indexed as

Health CommunicationSocial MediaAudiovisual AidsBiomedical ResearchComputer GraphicsCOVID-19Health PersonnelHumansInformation DisseminationPandemicsHealth PersonnelInfographicsPandemicsPublicationsPublishing

Identifiers

PMID33527783
PMCPMC7850859

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.