Improving the quality and impact of public health social media activity in Scotland during 2016: #ScotPublicHealth

A healthcare social media research article published in Journal of Public Health, June 6, 2017

Title
Improving the quality and impact of public health social media activity in Scotland during 2016: #ScotPublicHealth
Authors (alpha)
Douglas Graham Mackenzie
Published
June 6, 2017
Journal
Journal of Public Health
Impact Factor
2.019
DOI
10.1093/pubmed/fdx066
Pubmed
28591807
Altmetric
A healthcare social media research article published in Journal of Public Health, June 6, 2017

Abstract

Social media, including Twitter, potentially provides a route to communicate public health messages to a large audience. Simple measures can boost onward broadcast to other users ('retweeting'). This study compares the impact of a structured programme of social media activity in Scotland during 2016 (using #ScotPublicHealth hashtag) with previous years. The Twitter search function was used to identify tweets between 2014 and 2016 inclusive. The first three tweets from each Twitter user were selected for each period. The number of retweets was used as a measure of impact. The quality of tweets was assessed by recording use of image, weblink (uniform resource locator or URL), mention of another Twitter user and/or hashtag, each of which have been shown to boost number of retweets. The percentage of tweets with an image, URL and/or mention of another Twitter user increased during the period of study. The percentage of tweets retweeted during Scottish Public Health conferences increased from 43% in 2014 to 70% in 2016. The volume of tweeting also increased. The quality and impact of tweets sent by the Scottish Public Health community was higher during 2016 than previous years. Conference tweeting remains an area for improvement.


Symplur Signals for Academic Research

Symplur Signals provides researchers with a simple research interface, rich datasets, powerful filtering, and algorithms with natural language processing capabilities optimized for our context of healthcare. Get access to up to 7 years of history from this trusted academic research platform.

Subscribe Now

Healthcare Social Media Research

See the full list of healthcare social media research articles with data from or reference to Symplur.
#hcsmR is a collaboration between Stanford Medicine X and Symplur.


Altmetric

The Altmetric Attention Score is based on the attention a research article gets on the internet. Each coloured thread in the circle represents a different type of online attention and the number in the centre is the Altmetric Attention Score. The score is calculated based on two main sources of online attention: social media and mainstream news media.