ArticleCureus2025
#NeuroTwitter: A Hashtag Analysis Study of Global Neurology Conversations on X.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Global English-language-dominated discourse on artificial intelligence in healthcare: a three-year longitudinal analysis of the #AIinHealthcare movement on X.Frontiers in digital health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Studies show that X (formerly Twitter) significantly amplifies healthcare content online. This platform is valuable for monitoring public health trends and global healthcare patterns. Within neurology, it would be advantageous to explore the dissemination of information related to neurological matters by using #NeuroTwitter. In this study, we aim to evaluate the outreach achieved by neurology-related posts using the hashtag #NeuroTwitter. Methods We utilized the Fedica research analytics tool to conduct a cross-sectional hashtag analysis of posts containing #NeuroTwitter from June 1, 2022, to June 1, 2023. All public posts with the hashtag were included, regardless of user location, language, or profile type. Bots were excluded where identifiable. Sentiment, geographic distribution, and user engagement metrics were analyzed. Results Within a 12-month period, the #NeuroTwitter movement generated 216,558 posts shared by 61,326 X users, resulting in over 11.1 million impressions (views). The majority of posts originated from the United States (n = 84,485, 39.0%), followed by India (n = 16,332, 7.5%) and the United Kingdom (n = 13,484, 6.2%). The most commonly associated hashtags were #MedTwitter, #Neuroscience, #Neurology, #MedEd, and #Stroke. Engagement peaks corresponded with key academic milestones such as Match Week and residency application season. Conclusion This unique study marks the first exploration of the influence and utilization of #NeuroTwitter, examining its global impact in the field of neurology through the X platform. Our findings reveal that #NeuroTwitter is a widely utilized hashtag for neurology-related topics, particularly concerning research and medical education in the online community.
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.