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Twitter Influence on UK Vaccination and Antiviral Uptake during the 2009 H1N1 Pandemic

Overview of attention for article published in Frontiers in Public Health, February 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

policy
1 policy source
twitter
19 X users
facebook
1 Facebook page

Citations

dimensions_citation
79 Dimensions

Readers on

mendeley
134 Mendeley
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Title
Twitter Influence on UK Vaccination and Antiviral Uptake during the 2009 H1N1 Pandemic
Published in
Frontiers in Public Health, February 2016
DOI 10.3389/fpubh.2016.00026
Pubmed ID
Authors

Andrew McNeill, Peter R. Harris, Pam Briggs

Abstract

Information exchange via Twitter and other forms of social media make public health communication more complex as citizens play an increasingly influential role in shaping acceptable or desired health behaviors. Taking the case of the 2009-2010 H1N1 pandemic, we explore in detail the dissemination of H1N1-related advice in the UK through Twitter to see how it was used to discourage or encourage vaccine and antiviral uptake. In three stages we conducted (1) an analysis of general content, retweeting patterns, and URL sharing, (2) a discourse analysis of the public evaluation of press releases and (3) a template analysis of conversations around vaccine and antiviral uptake, using Protection Motivation Theory (PMT) as a way of understanding how the public weighed the costs and benefits. Network analysis of retweets showed that information from official sources predominated. Analysing the spread of significant messages through Twitter showed that most content was descriptive but there was some criticism of health authorities. A detailed analysis of responses to press releases revealed some scepticism over the economic beneficiaries of vaccination, that served to undermine public trust. Finally, the conversational analysis showed the influence of peers when weighing up the risks and benefits of medication. Most tweets linked to reliable sources, however Twitter was used to discuss both individual and health authority motivations to vaccinate. The PMT framework describes the ways individuals assessed the threat of the H1N1 pandemic, weighing this against the perceived cost of taking medication. These findings offer some valuable insights for social media communication practices in future pandemics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Italy 1 <1%
Brazil 1 <1%
Unknown 131 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 16%
Student > Master 19 14%
Student > Bachelor 14 10%
Researcher 13 10%
Student > Doctoral Student 9 7%
Other 21 16%
Unknown 37 28%
Readers by discipline Count As %
Social Sciences 18 13%
Medicine and Dentistry 15 11%
Business, Management and Accounting 12 9%
Psychology 10 7%
Computer Science 9 7%
Other 23 17%
Unknown 47 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 11 March 2020.
All research outputs
#2,439,992
of 24,061,085 outputs
Outputs from Frontiers in Public Health
#1,015
of 11,990 outputs
Outputs of similar age
#39,025
of 303,170 outputs
Outputs of similar age from Frontiers in Public Health
#12
of 69 outputs
Altmetric has tracked 24,061,085 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,990 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 91% 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 303,170 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 69 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.