Weight loss support seeking on twitter: the impact of weight on follow back rates and interactions
A healthcare social media research article published in Translational Behavioral Medicine, 2016
- Title
- Weight loss support seeking on twitter: the impact of weight on follow back rates and interactions
- Authors
- May, C. N., Waring, M. E., Rodrigues, S., Oleski, J. L., Olendzki, E., Evans, M., … & Pagoto, S. L.
- Published
- July 20, 2016
- Journal
- Translational Behavioral Medicine
- Impact Factor
- 2.189
- DOI
- 10.1007/s13142-016-0429-1
- Pubmed
- 27443643
- APA Citation
- May, C. N., Waring, M. E., Rodrigues, S., Oleski, J. L., Olendzki, E., Evans, M., … & Pagoto, S. L. Weight loss support seeking on twitter: the impact of weight on follow back rates and interactions. Translational Behavioral Medicine, 1-8.
- Altmetric
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.