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Inferring the effectiveness of government interventions against COVID-19

Overview of attention for article published in Science, December 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 (#8 of 69,479)
  • 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
40 news outlets
blogs
4 blogs
twitter
12608 tweeters
facebook
9 Facebook pages
wikipedia
1 Wikipedia page
reddit
11 Redditors

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
188 Mendeley
Title
Inferring the effectiveness of government interventions against COVID-19
Published in
Science, December 2020
DOI 10.1126/science.abd9338
Pubmed ID
Authors

Jan M. Brauner, Sören Mindermann, Mrinank Sharma, David Johnston, John Salvatier, Tomáš Gavenčiak, Anna B. Stephenson, Gavin Leech, George Altman, Vladimir Mikulik, Alexander John Norman, Joshua Teperowski Monrad, Tamay Besiroglu, Hong Ge, Meghan A. Hartwick, Yee Whye Teh, Leonid Chindelevitch, Yarin Gal, Jan Kulveit

Twitter Demographics

The data shown below were collected from the profiles of 12,608 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 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 188 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 23%
Student > Ph. D. Student 26 14%
Student > Master 22 12%
Other 19 10%
Professor 14 7%
Other 55 29%
Unknown 8 4%
Readers by discipline Count As %
Medicine and Dentistry 24 13%
Computer Science 21 11%
Agricultural and Biological Sciences 21 11%
Biochemistry, Genetics and Molecular Biology 15 8%
Unspecified 14 7%
Other 78 41%
Unknown 15 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 7998. 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
#126
of 16,663,134 outputs
Outputs from Science
#8
of 69,479 outputs
Outputs of similar age
#14
of 357,541 outputs
Outputs of similar age from Science
#1
of 793 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 69,479 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 53.8. 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 357,541 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 793 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.