ArticleMedical journal of the Islamic Republic of Iran2026
Academic Influencers on X (former Twitter) and Their Impact on Research Metrics: A Narrative Review and Correlation Analysis of Top 100 Altmetric Articles (2017-2021).
Article in Medical journal of the Islamic Republic of Iran, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Social media platforms, particularly X (former Twitter), are increasingly used by researchers to disseminate scientific knowledge. However, the extent to which X engagement influences traditional academic impact remains unclear. This study examines the association between X mentions, Altmetric Attention Scores (AAS), and citation counts for highly visible research outputs. Methods: A narrative review of studies on academic influencers in medical fields was combined with a quantitative correlation analysis of the top 100 Altmetric articles (2017-2021). Data included AAS, X mentions, and citation counts from Dimensions. Pearson correlation coefficients were calculated to assess year-by-year relationships. A systematic search was conducted in PubMed and Google Scholar on August 3, 2024, using MeSH terms and Boolean operators. Results: Strong positive correlations were found between X mentions and AAS (r = 0.673-0.944, Conclusion: X amplifies research visibility but has limited predictive power for long-term citation impact. These findings inform research evaluation by highlighting altmetrics as complementary tools. Future studies should explore multi-platform data and address global disparities in digital influence.
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Registered trials
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