Title |
Estimating the burden of SARS-CoV-2 in France
|
---|---|
Published in |
Science, May 2020
|
DOI | 10.1126/science.abc3517 |
Pubmed ID | |
Authors |
Henrik Salje, Cécile Tran Kiem, Noémie Lefrancq, Noémie Courtejoie, Paolo Bosetti, Juliette Paireau, Alessio Andronico, Nathanaël Hozé, Jehanne Richet, Claire-Lise Dubost, Yann Le Strat, Justin Lessler, Daniel Levy-Bruhl, Arnaud Fontanet, Lulla Opatowski, Pierre-Yves Boelle, Simon Cauchemez |
X Demographics
The data shown below were collected from the profiles of 7,182 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 | 710 | 10% |
France | 448 | 6% |
United Kingdom | 395 | 5% |
Argentina | 294 | 4% |
Mexico | 272 | 4% |
Brazil | 258 | 4% |
Spain | 233 | 3% |
Japan | 135 | 2% |
Canada | 101 | 1% |
Other | 909 | 13% |
Unknown | 3427 | 48% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6056 | 84% |
Scientists | 729 | 10% |
Practitioners (doctors, other healthcare professionals) | 231 | 3% |
Science communicators (journalists, bloggers, editors) | 160 | 2% |
Unknown | 6 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 728 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 728 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 141 | 19% |
Student > Ph. D. Student | 81 | 11% |
Student > Master | 61 | 8% |
Student > Bachelor | 52 | 7% |
Other | 48 | 7% |
Other | 169 | 23% |
Unknown | 176 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 146 | 20% |
Biochemistry, Genetics and Molecular Biology | 52 | 7% |
Agricultural and Biological Sciences | 48 | 7% |
Nursing and Health Professions | 29 | 4% |
Mathematics | 23 | 3% |
Other | 196 | 27% |
Unknown | 234 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4667. 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 14 January 2024.
All research outputs
#930
of 25,789,020 outputs
Outputs from Science
#48
of 83,337 outputs
Outputs of similar age
#89
of 422,304 outputs
Outputs of similar age from Science
#5
of 973 outputs
Altmetric has tracked 25,789,020 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 83,337 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.0. 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 422,304 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 973 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.