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Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world

Overview of attention for article published in Nature Human Behaviour, June 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 1,810)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
202 news outlets
blogs
9 blogs
twitter
955 X users
facebook
5 Facebook pages
reddit
4 Redditors

Citations

dimensions_citation
450 Dimensions

Readers on

mendeley
716 Mendeley
Title
Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world
Published in
Nature Human Behaviour, June 2020
DOI 10.1038/s41562-020-0898-6
Pubmed ID
Authors

Per Block, Marion Hoffman, Isabel J. Raabe, Jennifer Beam Dowd, Charles Rahal, Ridhi Kashyap, Melinda C. Mills

X Demographics

X Demographics

The data shown below were collected from the profiles of 955 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 716 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 716 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 108 15%
Student > Master 85 12%
Student > Ph. D. Student 77 11%
Student > Bachelor 62 9%
Professor > Associate Professor 34 5%
Other 152 21%
Unknown 198 28%
Readers by discipline Count As %
Social Sciences 84 12%
Medicine and Dentistry 58 8%
Engineering 43 6%
Computer Science 42 6%
Psychology 36 5%
Other 218 30%
Unknown 235 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2267. 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 07 April 2022.
All research outputs
#3,855
of 26,369,714 outputs
Outputs from Nature Human Behaviour
#17
of 1,810 outputs
Outputs of similar age
#256
of 437,372 outputs
Outputs of similar age from Nature Human Behaviour
#3
of 48 outputs
Altmetric has tracked 26,369,714 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 1,810 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 162.8. 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 437,372 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 48 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 93% of its contemporaries.