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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts
|
|---|---|
| Published in |
The Lancet Global Health, February 2020
|
| DOI | 10.1016/s2214-109x(20)30074-7 |
| Pubmed ID | |
| Authors |
Joel Hellewell, Sam Abbott, Amy Gimma, Nikos I Bosse, Christopher I Jarvis, Timothy W Russell, James D Munday, Adam J Kucharski, W John Edmunds, Centre for the Mathematical Modelling of Infectious Diseases COVID-19 Working Group, Fiona Sun, Stefan Flasche, Billy J Quilty, Nicholas Davies, Yang Liu, Samuel Clifford, Petra Klepac, Mark Jit, Charlie Diamond, Hamish Gibbs, Kevin van Zandvoort, Sebastian Funk, Rosalind M Eggo |
X Demographics
The data shown below were collected from the profiles of 2,184 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 | 181 | 8% |
| United Kingdom | 168 | 8% |
| Spain | 157 | 7% |
| Japan | 124 | 6% |
| Italy | 63 | 3% |
| Australia | 31 | 1% |
| Canada | 31 | 1% |
| France | 26 | 1% |
| Mexico | 25 | 1% |
| Other | 285 | 13% |
| Unknown | 1093 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1779 | 81% |
| Scientists | 245 | 11% |
| Practitioners (doctors, other healthcare professionals) | 138 | 6% |
| Science communicators (journalists, bloggers, editors) | 21 | <1% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 3,066 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3066 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 408 | 13% |
| Student > Master | 391 | 13% |
| Student > Ph. D. Student | 295 | 10% |
| Student > Bachelor | 253 | 8% |
| Other | 183 | 6% |
| Other | 700 | 23% |
| Unknown | 836 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 577 | 19% |
| Nursing and Health Professions | 195 | 6% |
| Engineering | 139 | 5% |
| Social Sciences | 132 | 4% |
| Agricultural and Biological Sciences | 118 | 4% |
| Other | 872 | 28% |
| Unknown | 1033 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2351. 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 09 January 2024.
All research outputs
#3,486
of 25,753,031 outputs
Outputs from The Lancet Global Health
#6
of 3,223 outputs
Outputs of similar age
#188
of 384,173 outputs
Outputs of similar age from The Lancet Global Health
#2
of 104 outputs
Altmetric has tracked 25,753,031 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 3,223 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.1. 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 384,173 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 104 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 98% of its contemporaries.