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Mobility network models of COVID-19 explain inequities and inform reopening

Overview of attention for article published in Nature, November 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 (#4 of 77,518)
  • 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
333 news outlets
blogs
19 blogs
policy
1 policy source
twitter
11079 tweeters
facebook
11 Facebook pages
reddit
16 Redditors

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
436 Mendeley
Title
Mobility network models of COVID-19 explain inequities and inform reopening
Published in
Nature, November 2020
DOI 10.1038/s41586-020-2923-3
Pubmed ID
Authors

Serina Chang, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Jure Leskovec

Twitter Demographics

The data shown below were collected from the profiles of 11,079 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 436 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 436 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 90 21%
Student > Ph. D. Student 79 18%
Student > Master 42 10%
Other 35 8%
Student > Bachelor 26 6%
Other 103 24%
Unknown 61 14%
Readers by discipline Count As %
Medicine and Dentistry 55 13%
Computer Science 46 11%
Engineering 32 7%
Biochemistry, Genetics and Molecular Biology 29 7%
Agricultural and Biological Sciences 27 6%
Other 159 36%
Unknown 88 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 9542. 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
#84
of 16,663,134 outputs
Outputs from Nature
#4
of 77,518 outputs
Outputs of similar age
#14
of 378,971 outputs
Outputs of similar age from Nature
#2
of 856 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 77,518 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 88.7. 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 378,971 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 856 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.