#NeuroTwitter: A Hashtag Analysis Study of Global Neurology Conversations on X

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.

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Publication Details

Journal
Cureus
Published
2025-05-23
DOI
https://doi.org/10.7759/cureus.84691
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

#NeuroTwitter: A Hashtag Analysis Study of Global Neurology Conversations on X

Rahul Kashyap, Faisal A. Nawaz, Michał Ławiński, Atanas G. Atanasov et al.
Cureus
Biomedical Text Mining and Ontologies
article

#NeuroTwitter: A Hashtag Analysis Study of Global Neurology Conversations on X

Rahul Kashyap, Faisal A. Nawaz, Michał Ławiński, Atanas G. Atanasov, Ahmedyar Hasan, Zara Arshad, Maryam Asif, Michel‐Edwar Mickael, Awranoos Ahadi
article en

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.

CureusVol. 17(5)
University of Minnesota (US), Alfaisal University (SA), Bolan University of Medical and Health Sciences (PK), Shifa International Hospital (PK)
Openalex Percentile: Top 90%
Biomedical Text Mining and Ontologies
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