| Title |
Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing
|
|---|---|
| Published in |
Science, May 2020
|
| DOI | 10.1126/science.abb6936 |
| Pubmed ID | |
| Authors |
Luca Ferretti, Chris Wymant, Michelle Kendall, Lele Zhao, Anel Nurtay, Lucie Abeler-Dörner, Michael Parker, David Bonsall, Christophe Fraser |
Twitter Demographics
The data shown below were collected from the profiles of 7,612 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 796 | 10% |
| United Kingdom | 623 | 8% |
| Japan | 270 | 4% |
| Italy | 226 | 3% |
| Spain | 193 | 3% |
| Colombia | 150 | 2% |
| France | 137 | 2% |
| Germany | 136 | 2% |
| Canada | 111 | 1% |
| Other | 1309 | 17% |
| Unknown | 3661 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6252 | 82% |
| Scientists | 825 | 11% |
| Practitioners (doctors, other healthcare professionals) | 377 | 5% |
| Science communicators (journalists, bloggers, editors) | 150 | 2% |
| Unknown | 8 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,203 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2203 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 350 | 16% |
| Student > Ph. D. Student | 278 | 13% |
| Student > Master | 271 | 12% |
| Student > Bachelor | 190 | 9% |
| Other | 102 | 5% |
| Other | 433 | 20% |
| Unknown | 579 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 334 | 15% |
| Computer Science | 159 | 7% |
| Engineering | 117 | 5% |
| Social Sciences | 116 | 5% |
| Biochemistry, Genetics and Molecular Biology | 111 | 5% |
| Other | 653 | 30% |
| Unknown | 713 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7694. 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 05 September 2023.
All research outputs
#337
of 24,513,158 outputs
Outputs from Science
#18
of 79,833 outputs
Outputs of similar age
#36
of 385,895 outputs
Outputs of similar age from Science
#4
of 950 outputs
Altmetric has tracked 24,513,158 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 79,833 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 64.5. 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 385,895 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 950 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.