University of Leicester
Browse

New Horizons for Stroke Medicine: Understanding the Value of Social Media

Download (256.3 kB)
journal contribution
posted on 2019-04-12, 14:19 authored by JM Cabrera-Maqueda, JS Minhas
Social media (SM) has provided individuals and organizations with an openly accessible platform encouraging participation and engagement in different forms of media (blogs, photos, infographics, and videos). In the past decade, there has been an exponential increase in platforms supporting user-driven content all encouraging differing degrees of SM interaction. Despite the initial SM revolution being based on social interaction, increasingly medical professionals are harboring such streams of communication to further medical knowledge and develop professional networks. An example of a SM platform is Twitter, a well-established microblogging tool,1 which supports communities2 of medical professionals interacting regularly. Importantly, data support an increasing coverage of biomedical literature on Twitter (≈10% of all published literature).3 Stroke medicine is constantly evolving to adapt to new technologies, which have supported new therapies and new diagnostic tools. However, little is known about the benefit of new technologies to our ways of communicating. In this article, we discuss how stroke trainees in particular could benefit from using SM to communicate and improve their educational, professional, and academic development. Furthermore, we provide for the first time Twitter analytic data from an international stroke trainee-based meeting to demonstrate real-world value to trainees and importantly organizations.

History

Citation

Stroke, 2018, 49 (2), pp. e25-e27

Author affiliation

/Organisation/COLLEGE OF LIFE SCIENCES/School of Medicine/Department of Cardiovascular Sciences

Version

  • AM (Accepted Manuscript)

Published in

Stroke

Publisher

American Heart Association

eissn

1524-4628

Copyright date

2018

Available date

2019-04-12

Publisher version

https://www.ahajournals.org/doi/10.1161/STROKEAHA.117.020068

Language

en

Usage metrics

    University of Leicester Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC