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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 (93rd percentile)

Mentioned by

news
82 news outlets
blogs
4 blogs
policy
1 policy source
twitter
344 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page
reddit
2 Redditors

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
58 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 344 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 16%
Student > Ph. D. Student 8 14%
Professor > Associate Professor 3 5%
Other 3 5%
Student > Doctoral Student 2 3%
Other 9 16%
Unknown 24 41%
Readers by discipline Count As %
Medicine and Dentistry 9 16%
Computer Science 4 7%
Agricultural and Biological Sciences 3 5%
Nursing and Health Professions 2 3%
Social Sciences 2 3%
Other 10 17%
Unknown 28 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 884. 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 December 2023.
All research outputs
#20,784
of 26,150,873 outputs
Outputs from JAMA Internal Medicine
#210
of 11,798 outputs
Outputs of similar age
#777
of 438,014 outputs
Outputs of similar age from JAMA Internal Medicine
#8
of 115 outputs
Altmetric has tracked 26,150,873 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 11,798 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 85.6. This one has done particularly well, scoring higher than 98% 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 438,014 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 115 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 93% of its contemporaries.