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Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing

Overview of attention for article published in Science, March 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 (#18 of 83,332)
  • 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
2342 Dimensions

Readers on

mendeley
2232 Mendeley
Title
Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing
Published in
Science, March 2020
DOI 10.1126/science.abb6936
Pubmed ID
Authors

Luca Ferretti, Chris Wymant, Michelle Kendall, Lele Zhao, Anel Nurtay, Lucie Abeler-Dörner, Michael Parker, David Bonsall, Christophe Fraser

X Demographics

X Demographics

The data shown below were collected from the profiles of 7,474 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2,232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2232 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 350 16%
Student > Ph. D. Student 275 12%
Student > Master 270 12%
Student > Bachelor 193 9%
Other 105 5%
Other 423 19%
Unknown 616 28%
Readers by discipline Count As %
Medicine and Dentistry 334 15%
Computer Science 158 7%
Social Sciences 116 5%
Engineering 115 5%
Biochemistry, Genetics and Molecular Biology 112 5%
Other 647 29%
Unknown 750 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7592. 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 09 February 2024.
All research outputs
#353
of 25,782,917 outputs
Outputs from Science
#18
of 83,332 outputs
Outputs of similar age
#40
of 397,948 outputs
Outputs of similar age from Science
#3
of 945 outputs
Altmetric has tracked 25,782,917 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 83,332 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.0. 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 397,948 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 945 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.