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Inferring the effectiveness of government interventions against COVID-19

Overview of attention for article published in Science, February 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 (#10 of 73,111)
  • 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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213 Dimensions

Readers on

mendeley
515 Mendeley
Title
Inferring the effectiveness of government interventions against COVID-19
Published in
Science, February 2021
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 14,413 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 515 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 515 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 102 20%
Student > Ph. D. Student 66 13%
Student > Master 62 12%
Student > Bachelor 50 10%
Other 38 7%
Other 100 19%
Unknown 97 19%
Readers by discipline Count As %
Medicine and Dentistry 72 14%
Agricultural and Biological Sciences 43 8%
Biochemistry, Genetics and Molecular Biology 33 6%
Computer Science 30 6%
Engineering 27 5%
Other 180 35%
Unknown 130 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 9754. 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 27 September 2021.
All research outputs
#137
of 18,963,610 outputs
Outputs from Science
#10
of 73,111 outputs
Outputs of similar age
#17
of 445,741 outputs
Outputs of similar age from Science
#1
of 877 outputs
Altmetric has tracked 18,963,610 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 73,111 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 57.7. 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 445,741 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 877 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.