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Cold Spring Harbor Laboratory Press

Article Metrics

The impact of super-spreaders in COVID-19: mapping genome variation worldwide

Overview of attention for article published in bioRxiv
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
11 news outlets
twitter
289 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
43 Mendeley
Title
The impact of super-spreaders in COVID-19: mapping genome variation worldwide
Published in
bioRxiv
DOI 10.1101/2020.05.19.097410
Authors

Gómez-Carballa, Alberto, Bello, Xabier, Pardo-Seco, Jacobo, Martinón-Torres, Federico, Salas, Antonio

Twitter Demographics

The data shown below were collected from the profiles of 289 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 30%
Student > Ph. D. Student 5 12%
Student > Master 4 9%
Professor > Associate Professor 3 7%
Student > Bachelor 3 7%
Other 8 19%
Unknown 7 16%
Readers by discipline Count As %
Medicine and Dentistry 9 21%
Biochemistry, Genetics and Molecular Biology 6 14%
Veterinary Science and Veterinary Medicine 2 5%
Agricultural and Biological Sciences 2 5%
Environmental Science 2 5%
Other 14 33%
Unknown 8 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 293. 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 20 December 2020.
All research outputs
#59,808
of 16,651,613 outputs
Outputs from bioRxiv
#308
of 108,745 outputs
Outputs of similar age
#2,878
of 289,692 outputs
Outputs of similar age from bioRxiv
#57
of 8,636 outputs
Altmetric has tracked 16,651,613 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 108,745 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. 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 289,692 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 98% of its contemporaries.
We're also able to compare this research output to 8,636 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.