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A modelling framework to assess the likely effectiveness of facemasks in combination with ‘lock-down’ in managing the COVID-19 pandemic

Overview of attention for article published in Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, June 2020
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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 1,309)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Citations

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19 Dimensions

Readers on

mendeley
211 Mendeley
Title
A modelling framework to assess the likely effectiveness of facemasks in combination with ‘lock-down’ in managing the COVID-19 pandemic
Published in
Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, June 2020
DOI 10.1098/rspa.2020.0376
Pubmed ID
Authors

Richard O. J. H. Stutt, Renata Retkute, Michael Bradley, Christopher A. Gilligan, John Colvin

Twitter Demographics

The data shown below were collected from the profiles of 6,789 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 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 211 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 18%
Student > Master 26 12%
Other 25 12%
Student > Bachelor 22 10%
Student > Ph. D. Student 11 5%
Other 51 24%
Unknown 39 18%
Readers by discipline Count As %
Medicine and Dentistry 59 28%
Engineering 15 7%
Agricultural and Biological Sciences 13 6%
Social Sciences 10 5%
Computer Science 8 4%
Other 63 30%
Unknown 43 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 6493. 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 26 October 2020.
All research outputs
#179
of 16,094,382 outputs
Outputs from Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences
#1
of 1,309 outputs
Outputs of similar age
#47
of 292,608 outputs
Outputs of similar age from Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences
#1
of 52 outputs
Altmetric has tracked 16,094,382 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 1,309 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. 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 292,608 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 52 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 98% of its contemporaries.