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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 (#8 of 90,505)
  • 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
822 Dimensions

Readers on

mendeley
1095 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 13,457 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 1,095 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1095 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 179 16%
Researcher 170 16%
Student > Master 112 10%
Student > Bachelor 63 6%
Other 57 5%
Other 207 19%
Unknown 307 28%
Readers by discipline Count As %
Medicine and Dentistry 99 9%
Computer Science 97 9%
Engineering 74 7%
Social Sciences 63 6%
Agricultural and Biological Sciences 56 5%
Other 318 29%
Unknown 388 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 11254. 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 November 2022.
All research outputs
#125
of 22,623,576 outputs
Outputs from Nature
#8
of 90,505 outputs
Outputs of similar age
#9
of 400,224 outputs
Outputs of similar age from Nature
#2
of 899 outputs
Altmetric has tracked 22,623,576 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 90,505 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 99.1. 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 400,224 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 899 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.