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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
13 news outlets
blogs
1 blog
twitter
117 tweeters
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
88 Mendeley
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 117 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 1%
Unknown 87 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 23%
Student > Ph. D. Student 15 17%
Researcher 13 15%
Unspecified 11 13%
Student > Doctoral Student 8 9%
Other 21 24%
Readers by discipline Count As %
Unspecified 17 19%
Medicine and Dentistry 15 17%
Social Sciences 14 16%
Nursing and Health Professions 11 13%
Computer Science 9 10%
Other 22 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 179. 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 06 February 2018.
All research outputs
#70,995
of 12,965,547 outputs
Outputs from Vaccine
#51
of 10,995 outputs
Outputs of similar age
#3,549
of 262,840 outputs
Outputs of similar age from Vaccine
#4
of 207 outputs
Altmetric has tracked 12,965,547 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 10,995 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. 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 262,840 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.