↓ Skip to main content

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
Altmetric Badge

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
41 tweeters
facebook
2 Facebook pages
reddit
1 Redditor

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
68 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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 41 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 18%
Student > Master 10 15%
Researcher 10 15%
Student > Bachelor 7 10%
Professor 4 6%
Other 12 18%
Unknown 13 19%
Readers by discipline Count As %
Social Sciences 11 16%
Medicine and Dentistry 10 15%
Computer Science 9 13%
Engineering 7 10%
Nursing and Health Professions 7 10%
Other 9 13%
Unknown 15 22%

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
#692,843
of 17,730,520 outputs
Outputs from Journal of Medical Internet Research
#578
of 5,140 outputs
Outputs of similar age
#22,827
of 336,240 outputs
Outputs of similar age from Journal of Medical Internet Research
#1
of 1 outputs
Altmetric has tracked 17,730,520 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 5,140 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.5. 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 336,240 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