An Academic Healthcare Twitter Account: The Mayo Clinic Experience

17Citations
Citations of this article
37Readers
Mendeley users who have this article in their library.
Get full text

Abstract

With more than 300 million monthly active users, Twitter is a powerful social media tool in healthcare, yet the characterization of an academic healthcare Twitter account remains poor to date. We assessed basic gender and geographic data on the account's "followers," as well as categorization of each tweet based on content type. We analyzed the impressions, engagements, retweets, favorites, replies, hashtag clicks, and detail expansions using both Sprinklr and Twitter Analytics. Over a period of 12 months, the account amassed 1,235 followers, with 54 percent being male and 68 percent residing in the United States. Of the 1,635 tweets sent out over the life of the account, we report more than 382,464 impressions, 6,023 engagements, 1,255 retweets, 776 favorites, and 1,654 embedded media clicks in this period. When broken down by tweet category, publication tweets garnered the highest engagement with an estimated mean number of clicks per tweet of 8.2 ± 81.9. Original content had higher total engagement per tweet than retweeted material (2.8 ± 9.2 vs. 0.2 ± 0.9 engagements per tweet; p < 0.0001). Tweets regarding internal, national, and continuing medical education events had similar engagement. Herein is the first publication within the medical literature describing a "case series" of cardiovascular tweets over 12 months. We highlight a rapidly emerging group of interactive followers, a successful means by which to disseminate and engage in breaking topics throughout the cardiovascular field, and the importance of combining physician-led knowledge with intermittent marketing messages.

Cite

CITATION STYLE

APA

Widmer, R. J., Engler, N. B., Geske, J. B., Klarich, K. W., & Timimi, F. K. (2016). An Academic Healthcare Twitter Account: The Mayo Clinic Experience. Cyberpsychology, Behavior, and Social Networking, 19(6), 360–366. https://doi.org/10.1089/cyber.2015.0607

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free