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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
290 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
49 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 290 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 31%
Student > Ph. D. Student 5 10%
Student > Bachelor 5 10%
Student > Master 5 10%
Professor > Associate Professor 3 6%
Other 8 16%
Unknown 8 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 20%
Medicine and Dentistry 9 18%
Immunology and Microbiology 3 6%
Veterinary Science and Veterinary Medicine 2 4%
Environmental Science 2 4%
Other 13 27%
Unknown 10 20%

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 06 February 2021.
All research outputs
#61,422
of 17,120,105 outputs
Outputs from bioRxiv
#322
of 113,158 outputs
Outputs of similar age
#2,918
of 291,234 outputs
Outputs of similar age from bioRxiv
#56
of 8,634 outputs
Altmetric has tracked 17,120,105 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 113,158 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. 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 291,234 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 8,634 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.