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Estimates of the severity of coronavirus disease 2019: a model-based analysis

Overview of attention for article published in Lancet Infectious Diseases, June 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 (#2 of 4,417)
  • 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

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819 Dimensions

Readers on

mendeley
1929 Mendeley
Title
Estimates of the severity of coronavirus disease 2019: a model-based analysis
Published in
Lancet Infectious Diseases, June 2020
DOI 10.1016/s1473-3099(20)30243-7
Pubmed ID
Authors

Robert Verity, Lucy C Okell, Ilaria Dorigatti, Peter Winskill, Charles Whittaker, Natsuko Imai, Gina Cuomo-Dannenburg, Hayley Thompson, Patrick G T Walker, Han Fu, Amy Dighe, Jamie T Griffin, Marc Baguelin, Sangeeta Bhatia, Adhiratha Boonyasiri, Anne Cori, Zulma Cucunubá, Rich FitzJohn, Katy Gaythorpe, Will Green, Arran Hamlet, Wes Hinsley, Daniel Laydon, Gemma Nedjati-Gilani, Steven Riley, Sabine van Elsland, Erik Volz, Haowei Wang, Yuanrong Wang, Xiaoyue Xi, Christl A Donnelly, Azra C Ghani, Neil M Ferguson

Twitter Demographics

The data shown below were collected from the profiles of 4,681 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 1,929 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1929 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 340 18%
Student > Master 212 11%
Student > Ph. D. Student 205 11%
Other 173 9%
Student > Bachelor 142 7%
Other 478 25%
Unknown 379 20%
Readers by discipline Count As %
Medicine and Dentistry 491 25%
Biochemistry, Genetics and Molecular Biology 100 5%
Agricultural and Biological Sciences 98 5%
Nursing and Health Professions 92 5%
Engineering 66 3%
Other 540 28%
Unknown 542 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 5806. 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 26 October 2020.
All research outputs
#220
of 16,094,294 outputs
Outputs from Lancet Infectious Diseases
#2
of 4,417 outputs
Outputs of similar age
#55
of 271,634 outputs
Outputs of similar age from Lancet Infectious Diseases
#1
of 139 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 4,417 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 54.2. 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 271,634 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 139 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.