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The temporal association of introducing and lifting non-pharmaceutical interventions with the time-varying reproduction number (R) of SARS-CoV-2: a modelling study across 131 countries

Overview of attention for article published in Lancet Infectious Diseases, October 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 (#2 of 4,524)
  • 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)

Mentioned by

news
224 news outlets
blogs
6 blogs
policy
1 policy source
twitter
9429 tweeters
facebook
5 Facebook pages
reddit
8 Redditors

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
131 Mendeley
Title
The temporal association of introducing and lifting non-pharmaceutical interventions with the time-varying reproduction number (R) of SARS-CoV-2: a modelling study across 131 countries
Published in
Lancet Infectious Diseases, October 2020
DOI 10.1016/s1473-3099(20)30785-4
Authors

You Li, Harry Campbell, Durga Kulkarni, Alice Harpur, Madhurima Nundy, Xin Wang, Harish Nair

Twitter Demographics

The data shown below were collected from the profiles of 9,429 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 22%
Student > Master 16 12%
Other 11 8%
Student > Ph. D. Student 10 8%
Professor > Associate Professor 8 6%
Other 34 26%
Unknown 23 18%
Readers by discipline Count As %
Medicine and Dentistry 33 25%
Social Sciences 14 11%
Biochemistry, Genetics and Molecular Biology 8 6%
Unspecified 8 6%
Agricultural and Biological Sciences 7 5%
Other 29 22%
Unknown 32 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 8586. 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 January 2021.
All research outputs
#111
of 16,663,134 outputs
Outputs from Lancet Infectious Diseases
#2
of 4,524 outputs
Outputs of similar age
#18
of 380,501 outputs
Outputs of similar age from Lancet Infectious Diseases
#1
of 189 outputs
Altmetric has tracked 16,663,134 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 4,524 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.9. 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 380,501 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 189 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.