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Spread of Misinformation About Face Masks and COVID-19 by Automated Software on Facebook

Overview of attention for article published in JAMA Internal Medicine, September 2021
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
82 news outlets
blogs
4 blogs
twitter
367 tweeters
facebook
1 Facebook page
wikipedia
1 Wikipedia page
reddit
2 Redditors

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
64 Mendeley
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Title
Spread of Misinformation About Face Masks and COVID-19 by Automated Software on Facebook
Published in
JAMA Internal Medicine, September 2021
DOI 10.1001/jamainternmed.2021.2498
Pubmed ID
Authors

John W. Ayers, Brian Chu, Zechariah Zhu, Eric C. Leas, Davey M. Smith, Mark Dredze, David A. Broniatowski

Twitter Demographics

The data shown below were collected from the profiles of 367 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 11 17%
Researcher 9 14%
Student > Ph. D. Student 8 13%
Librarian 3 5%
Professor > Associate Professor 3 5%
Other 12 19%
Unknown 18 28%
Readers by discipline Count As %
Unspecified 11 17%
Medicine and Dentistry 9 14%
Computer Science 4 6%
Agricultural and Biological Sciences 3 5%
Social Sciences 3 5%
Other 12 19%
Unknown 22 34%

Attention Score in Context

This research output has an Altmetric Attention Score of 904. 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 25 January 2023.
All research outputs
#15,717
of 23,047,237 outputs
Outputs from JAMA Internal Medicine
#169
of 4,961 outputs
Outputs of similar age
#625
of 427,726 outputs
Outputs of similar age from JAMA Internal Medicine
#7
of 117 outputs
Altmetric has tracked 23,047,237 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 4,961 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 159.5. This one has done particularly well, scoring higher than 96% 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 427,726 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 99% of its contemporaries.
We're also able to compare this research output to 117 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 94% of its contemporaries.