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Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2)

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 (#4 of 83,959)
  • 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
3280 Dimensions

Readers on

mendeley
3448 Mendeley
Title
Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2)
Published in
Science, March 2020
DOI 10.1126/science.abb3221
Pubmed ID
Authors

Ruiyun Li, Sen Pei, Bin Chen, Yimeng Song, Tao Zhang, Wan Yang, Jeffrey Shaman

X Demographics

X Demographics

The data shown below were collected from the profiles of 16,507 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 3,448 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3448 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 585 17%
Student > Ph. D. Student 384 11%
Student > Master 351 10%
Student > Bachelor 319 9%
Other 208 6%
Other 746 22%
Unknown 855 25%
Readers by discipline Count As %
Medicine and Dentistry 635 18%
Biochemistry, Genetics and Molecular Biology 263 8%
Agricultural and Biological Sciences 210 6%
Engineering 153 4%
Immunology and Microbiology 126 4%
Other 980 28%
Unknown 1081 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14734. 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 08 July 2024.
All research outputs
#72
of 26,377,159 outputs
Outputs from Science
#4
of 83,959 outputs
Outputs of similar age
#11
of 395,977 outputs
Outputs of similar age from Science
#2
of 935 outputs
Altmetric has tracked 26,377,159 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 83,959 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.6. 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 395,977 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 935 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.