↓ Skip to main content

Science

Article Metrics

Inferring the effectiveness of government interventions against COVID-19

Overview of attention for article published in Science, February 2021
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 77,727)
  • 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

dimensions_citation
579 Dimensions

Readers on

mendeley
746 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 14,014 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 746 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 746 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 127 17%
Student > Ph. D. Student 84 11%
Student > Master 82 11%
Student > Bachelor 64 9%
Other 43 6%
Other 145 19%
Unknown 201 27%
Readers by discipline Count As %
Medicine and Dentistry 92 12%
Agricultural and Biological Sciences 48 6%
Social Sciences 38 5%
Biochemistry, Genetics and Molecular Biology 37 5%
Engineering 33 4%
Other 250 34%
Unknown 248 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 9461. 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 28 November 2022.
All research outputs
#196
of 22,568,248 outputs
Outputs from Science
#12
of 77,727 outputs
Outputs of similar age
#12
of 316,636 outputs
Outputs of similar age from Science
#3
of 916 outputs
Altmetric has tracked 22,568,248 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 77,727 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 61.8. 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 316,636 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 916 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.