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Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study

Overview of attention for article published in Journal of Medical Internet Research, November 2019
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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 (93rd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
39 tweeters
facebook
2 Facebook pages
reddit
1 Redditor

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
96 Mendeley
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Title
Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study
Published in
Journal of Medical Internet Research, November 2019
DOI 10.2196/14007
Pubmed ID
Authors

Zubair Shah, Didi Surian, Amalie Dyda, Enrico Coiera, Kenneth D Mandl, Adam G Dunn

Twitter Demographics

The data shown below were collected from the profiles of 39 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 16%
Researcher 11 11%
Student > Ph. D. Student 11 11%
Student > Bachelor 11 11%
Professor 4 4%
Other 17 18%
Unknown 27 28%
Readers by discipline Count As %
Computer Science 12 13%
Medicine and Dentistry 12 13%
Social Sciences 11 11%
Nursing and Health Professions 9 9%
Engineering 8 8%
Other 15 16%
Unknown 29 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 16 November 2020.
All research outputs
#847,643
of 21,285,520 outputs
Outputs from Journal of Medical Internet Research
#695
of 6,283 outputs
Outputs of similar age
#24,445
of 350,396 outputs
Outputs of similar age from Journal of Medical Internet Research
#1
of 1 outputs
Altmetric has tracked 21,285,520 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 6,283 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.3. This one has done well, scoring higher than 88% 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 350,396 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 93% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them