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Weight loss support seeking on twitter: the impact of weight on follow back rates and interactions

Overview of attention for article published in Translational Behavioral Medicine, July 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#31 of 475)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
26 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Weight loss support seeking on twitter: the impact of weight on follow back rates and interactions
Published in
Translational Behavioral Medicine, July 2016
DOI 10.1007/s13142-016-0429-1
Pubmed ID
Authors

May, Christine N, Waring, Molly E, Rodrigues, Stephanie, Oleski, Jessica L, Olendzki, Effie, Evans, Martinus, Carey, Jennifer, Pagoto, Sherry L, Christine N. May, Molly E. Waring, Stephanie Rodrigues, Jessica L. Oleski, Effie Olendzki, Martinus Evans, Jennifer Carey, Sherry L. Pagoto

Abstract

People seek weight loss support on online social networks, but little is known about how to build a supportive community. We created four Twitter accounts portraying women interested in weight loss (two obese, two normal weight/overweight) and followed health care professional and peer accounts for 2-5 weeks. We examined follow back rates, interactions, and organic follows from professionals and peers by weight status. Follow back rates did not differ by weight status when following professionals (6.8 % normal weight/overweight vs 11.0 % for obese; p = 0.4167) or peers (6.7 % for normal weight/overweight vs 10.8 % for obese; p = 0.1548). Number of interactions and organic followers also did not differ by weight status. Peers interacted with study accounts significantly more than professionals (p = 0.0138), but interactions were infrequent. Women seeking weight loss support on Twitter may need to be present for more than 5 weeks to build an interactive weight loss community.

Twitter Demographics

The data shown below were collected from the profiles of 26 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 23%
Student > Bachelor 4 18%
Student > Postgraduate 3 14%
Student > Ph. D. Student 3 14%
Student > Doctoral Student 2 9%
Other 5 23%
Readers by discipline Count As %
Medicine and Dentistry 10 45%
Nursing and Health Professions 4 18%
Social Sciences 3 14%
Business, Management and Accounting 2 9%
Agricultural and Biological Sciences 1 5%
Other 2 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 October 2017.
All research outputs
#540,689
of 12,016,495 outputs
Outputs from Translational Behavioral Medicine
#31
of 475 outputs
Outputs of similar age
#20,578
of 266,665 outputs
Outputs of similar age from Translational Behavioral Medicine
#2
of 13 outputs
Altmetric has tracked 12,016,495 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 475 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,665 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.