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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
  • One of the highest-scoring outputs from this source (#6 of 68,423)
  • 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
382 Dimensions

Readers on

mendeley
1314 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

Twitter Demographics

The data shown below were collected from the profiles of 8,558 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 1,314 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1314 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 247 19%
Student > Ph. D. Student 174 13%
Student > Master 161 12%
Student > Bachelor 129 10%
Other 72 5%
Other 281 21%
Unknown 250 19%
Readers by discipline Count As %
Medicine and Dentistry 232 18%
Computer Science 91 7%
Agricultural and Biological Sciences 79 6%
Engineering 77 6%
Biochemistry, Genetics and Molecular Biology 73 6%
Other 428 33%
Unknown 334 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 8345. 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 25 October 2020.
All research outputs
#103
of 16,094,294 outputs
Outputs from Science
#6
of 68,423 outputs
Outputs of similar age
#29
of 272,401 outputs
Outputs of similar age from Science
#2
of 921 outputs
Altmetric has tracked 16,094,294 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 68,423 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 52.4. 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 272,401 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 921 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.