#NeuroTwitter: A Hashtag Analysis Study of Global Neurology Conversations on X
Ahmedyar Hasan, Maryam Asif, Awranoos Ahadi, Atanas G Atanasov, Michel-Edwar Mickael, Michal Lawinski, Zara Arshad, Rahul Kashyap, Faisal Nawaz

TL;DR
This study analyzes the use of the #NeuroTwitter hashtag on X to understand how neurology-related content is shared and engaged with globally.
Contribution
The first study to explore the influence and global reach of #NeuroTwitter on the X platform in the field of neurology.
Findings
The #NeuroTwitter hashtag generated over 216,558 posts and 11.1 million impressions in one year.
Most posts originated from the United States, followed by India and the United Kingdom.
Engagement peaks were observed during academic events like Match Week and residency application season.
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…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsBiomedical Text Mining and Ontologies · Social Media in Health Education
