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Mapping information exposure on social media to explain differences in HPV vaccine coverage in the United States

Overview of attention for article published in Vaccine, May 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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
18 news outlets
blogs
1 blog
policy
1 policy source
twitter
113 tweeters
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
73 Dimensions

Readers on

mendeley
183 Mendeley
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Title
Mapping information exposure on social media to explain differences in HPV vaccine coverage in the United States
Published in
Vaccine, May 2017
DOI 10.1016/j.vaccine.2017.04.060
Pubmed ID
Authors

Adam G. Dunn, Didi Surian, Julie Leask, Aditi Dey, Kenneth D. Mandl, Enrico Coiera

Abstract

Together with access, acceptance of vaccines affects human papillomavirus (HPV) vaccine coverage, yet little is known about media's role. Our aim was to determine whether measures of information exposure derived from Twitter could be used to explain differences in coverage in the United States. We conducted an analysis of exposure to information about HPV vaccines on Twitter, derived from 273.8 million exposures to 258,418 tweets posted between 1 October 2013 and 30 October 2015. Tweets were classified by topic using machine learning methods. Proportional exposure to each topic was used to construct multivariable models for predicting state-level HPV vaccine coverage, and compared to multivariable models constructed using socioeconomic factors: poverty, education, and insurance. Outcome measures included correlations between coverage and the individual topics and socioeconomic factors; and differences in the predictive performance of the multivariable models. Topics corresponding to media controversies were most closely correlated with coverage (both positively and negatively); education and insurance were highest among socioeconomic indicators. Measures of information exposure explained 68% of the variance in one dose 2015 HPV vaccine coverage in females (males: 63%). In comparison, models based on socioeconomic factors explained 42% of the variance in females (males: 40%). Measures of information exposure derived from Twitter explained differences in coverage that were not explained by socioeconomic factors. Vaccine coverage was lower in states where safety concerns, misinformation, and conspiracies made up higher proportions of exposures, suggesting that negative representations of vaccines in the media may reflect or influence vaccine acceptance.

Twitter Demographics

The data shown below were collected from the profiles of 113 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 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 <1%
Unknown 182 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 35 19%
Student > Ph. D. Student 29 16%
Researcher 23 13%
Student > Doctoral Student 13 7%
Student > Bachelor 11 6%
Other 32 17%
Unknown 40 22%
Readers by discipline Count As %
Medicine and Dentistry 38 21%
Social Sciences 25 14%
Nursing and Health Professions 19 10%
Psychology 14 8%
Computer Science 10 5%
Other 22 12%
Unknown 55 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 214. 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 20 October 2020.
All research outputs
#87,379
of 16,242,940 outputs
Outputs from Vaccine
#72
of 12,862 outputs
Outputs of similar age
#3,018
of 269,123 outputs
Outputs of similar age from Vaccine
#4
of 207 outputs
Altmetric has tracked 16,242,940 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,862 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 99% 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 269,123 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 98% of its contemporaries.
We're also able to compare this research output to 207 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.