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Reactions on Twitter to updated alcohol guidelines in the UK: a content analysis

Overview of attention for article published in BMJ Open, February 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
47 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Reactions on Twitter to updated alcohol guidelines in the UK: a content analysis
Published in
BMJ Open, February 2017
DOI 10.1136/bmjopen-2016-015493
Pubmed ID
Authors

Kaidy Stautz, Giacomo Bignardi, Gareth J Hollands, Theresa M Marteau

Abstract

In January 2016, the 4 UK Chief Medical Officers released a public consultation regarding updated guidelines for low-risk alcohol consumption. This study aimed to assess responses to the updated guidelines using comments made on Twitter. Tweets containing the hashtag #alcoholguidelines made during 1 week following the announcement of the updated guidelines were retrieved using the Twitter Archiver tool. The source, sentiment and themes of the tweets were categorised using manual content analysis. A total of 3061 tweets was retrieved. 6 sources were identified, the most prominent being members of the public. Of 821 tweets expressing sentiment specifically towards the guidelines, 80% expressed a negative sentiment. 11 themes were identified, 3 of which were broadly supportive of the guidelines, 7 broadly unsupportive and 1 neutral. Overall, more tweets were unsupportive (49%) than supportive (44%). While the most common theme overall was sharing information, the most common in tweets from members of the public encouraged alcohol consumption (15%) or expressed disagreement with the guidelines (14%), reflecting reactance, resistance and misunderstanding. This descriptive analysis revealed a number of themes present in unsupportive comments towards the updated UK alcohol guidelines among a largely proalcohol community. An understanding of these may help to tailor effective communication of alcohol and health-related policies, and could inform a more dynamic approach to health communication via social media.

Twitter Demographics

The data shown below were collected from the profiles of 47 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 16%
Researcher 6 16%
Student > Ph. D. Student 6 16%
Unspecified 5 13%
Student > Bachelor 4 11%
Other 11 29%
Readers by discipline Count As %
Psychology 8 21%
Medicine and Dentistry 8 21%
Nursing and Health Professions 7 18%
Unspecified 5 13%
Computer Science 4 11%
Other 6 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 29 December 2017.
All research outputs
#521,043
of 13,214,864 outputs
Outputs from BMJ Open
#1,108
of 11,158 outputs
Outputs of similar age
#19,760
of 257,010 outputs
Outputs of similar age from BMJ Open
#43
of 404 outputs
Altmetric has tracked 13,214,864 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,158 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.0. This one has done particularly well, scoring higher than 90% 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 257,010 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 404 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.