ArticleJournal of Korean medical science2022
Seeing Is Believing: The Effect of Graphical Abstracts on Citations and Social Media Exposure in Gastroenterology & Hepatology Journals.
Article in Journal of Korean medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- New visual culture of science: analysis of graphical abstracts in the life science journal "Cell".History and philosophy of the life sciences · 2026Article
- The Influence of Media Type and Posting Time on Altmetric Engagement of Orthopaedic Surgery Journals on X.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026Article
- Optimizing social media initiatives to promote Neuropsychopharmacology (NPP) publications.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025Article
- Embracing graphical abstracts in European Radiology.European radiology · 2025Article
- Visualizing medicine: The case for implementing graphical abstracts in clinical reporting.World journal of methodology · 2025Article
- The potential for graphical abstracts to enhance science communication.Translational behavioral medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundGraphical abstracts (GAs) have recently been included as an essential element in various journals, including those in the field of Gastroenterology & Hepatology. However, there has been no study on the effect of GAs on the impact factor (IF) of journals, and the citation index or social media exposure of individual articles.
methodsWe investigated the presence of GAs, total citations and social media exposure of full-length original articles in the top ten journals of gastroenterology and hepatology for three years (2019-2021). Citations and social media exposure were evaluated with the Web of Science citation index, Altmetric Attention score, Dimension recorded citation count, and PlumX index.
resultsA total of 4,205 articles from ten journals were evaluated for three years. First, journals that have adopted GAs demonstrated significantly higher IF increases for the past three years than those of journals without GAs. The longer GAs have been utilized in a journal, the higher IFs the journal had. Secondly, individual articles with GAs had significantly higher Web of Science citation counts (median 14 vs. 12), more social media exposure (median 23 vs. 5) and more Altmetric.com tweet counts (median 15 vs. 7) than those of articles without GAs. In multiple regression analysis, the inclusion of GAs was particularly effective in increasing the number of Web of Science citations (β = 14.1, SE = 1.9,
conclusionGAs are effective in increasing IFs of journals in the field of gastroenterology and hepatology, as well as increasing citations and social media exposure of individual articles.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.