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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 (#3 of 80,782)
  • 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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182 Dimensions

Readers on

mendeley
726 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 14,457 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 726 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 726 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 132 18%
Researcher 129 18%
Student > Master 77 11%
Other 50 7%
Student > Bachelor 48 7%
Other 150 21%
Unknown 140 19%
Readers by discipline Count As %
Medicine and Dentistry 84 12%
Computer Science 80 11%
Engineering 57 8%
Agricultural and Biological Sciences 43 6%
Social Sciences 40 6%
Other 233 32%
Unknown 189 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 11788. 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 11 June 2021.
All research outputs
#62
of 17,966,891 outputs
Outputs from Nature
#3
of 80,782 outputs
Outputs of similar age
#10
of 384,676 outputs
Outputs of similar age from Nature
#2
of 916 outputs
Altmetric has tracked 17,966,891 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 80,782 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 91.3. 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 384,676 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.