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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 (#7 of 91,458)
  • 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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860 Dimensions

Readers on

mendeley
1143 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 13,385 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 1,143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1143 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 188 16%
Researcher 174 15%
Student > Master 114 10%
Student > Bachelor 67 6%
Other 59 5%
Other 234 20%
Unknown 307 27%
Readers by discipline Count As %
Medicine and Dentistry 103 9%
Computer Science 98 9%
Engineering 78 7%
Social Sciences 65 6%
Agricultural and Biological Sciences 57 5%
Other 354 31%
Unknown 388 34%

Attention Score in Context

This research output has an Altmetric Attention Score of 11206. 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 03 February 2023.
All research outputs
#130
of 23,073,835 outputs
Outputs from Nature
#7
of 91,458 outputs
Outputs of similar age
#10
of 414,809 outputs
Outputs of similar age from Nature
#2
of 901 outputs
Altmetric has tracked 23,073,835 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 91,458 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 99.7. 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 414,809 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 901 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.