| Title |
Estimates of the severity of coronavirus disease 2019: a model-based analysis
|
|---|---|
| Published in |
Lancet Infectious Diseases, March 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 |
X Demographics
The data shown below were collected from the profiles of 3,972 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 593 | 15% |
| United Kingdom | 230 | 6% |
| Japan | 181 | 5% |
| Brazil | 95 | 2% |
| Colombia | 89 | 2% |
| France | 71 | 2% |
| Spain | 61 | 2% |
| Canada | 61 | 2% |
| Australia | 58 | 1% |
| Other | 624 | 16% |
| Unknown | 1909 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3291 | 83% |
| Scientists | 383 | 10% |
| Practitioners (doctors, other healthcare professionals) | 202 | 5% |
| Science communicators (journalists, bloggers, editors) | 95 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 3,387 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3387 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 474 | 14% |
| Student > Master | 344 | 10% |
| Student > Ph. D. Student | 300 | 9% |
| Student > Bachelor | 281 | 8% |
| Other | 237 | 7% |
| Other | 711 | 21% |
| Unknown | 1040 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 719 | 21% |
| Biochemistry, Genetics and Molecular Biology | 184 | 5% |
| Nursing and Health Professions | 148 | 4% |
| Agricultural and Biological Sciences | 144 | 4% |
| Social Sciences | 102 | 3% |
| Other | 834 | 25% |
| Unknown | 1256 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5395. 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 10 April 2024.
All research outputs
#709
of 25,782,229 outputs
Outputs from Lancet Infectious Diseases
#11
of 6,105 outputs
Outputs of similar age
#67
of 396,928 outputs
Outputs of similar age from Lancet Infectious Diseases
#1
of 189 outputs
Altmetric has tracked 25,782,229 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 6,105 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 94.6. 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 396,928 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 189 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.