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An evidence review of face masks against COVID-19

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, January 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 103,665)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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975 Dimensions

Readers on

mendeley
1522 Mendeley
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Title
An evidence review of face masks against COVID-19
Published in
Proceedings of the National Academy of Sciences of the United States of America, January 2021
DOI 10.1073/pnas.2014564118
Pubmed ID
Authors

Jeremy Howard, Austin Huang, Zhiyuan Li, Zeynep Tufekci, Vladimir Zdimal, Helene-Mari van der Westhuizen, Arne von Delft, Amy Price, Lex Fridman, Lei-Han Tang, Viola Tang, Gregory L. Watson, Christina E. Bax, Reshama Shaikh, Frederik Questier, Danny Hernandez, Larry F. Chu, Christina M. Ramirez, Anne W. Rimoin

X Demographics

X Demographics

The data shown below were collected from the profiles of 24,292 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 1,522 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1522 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 187 12%
Researcher 148 10%
Student > Master 141 9%
Student > Ph. D. Student 126 8%
Other 82 5%
Other 266 17%
Unknown 572 38%
Readers by discipline Count As %
Medicine and Dentistry 192 13%
Nursing and Health Professions 95 6%
Engineering 81 5%
Biochemistry, Genetics and Molecular Biology 74 5%
Social Sciences 61 4%
Other 395 26%
Unknown 624 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19376. 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 April 2024.
All research outputs
#32
of 25,753,031 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#1
of 103,665 outputs
Outputs of similar age
#3
of 532,245 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#1
of 986 outputs
Altmetric has tracked 25,753,031 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 103,665 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.8. 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 532,245 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 986 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 99% of its contemporaries.