| Title |
Response strategies for COVID-19 epidemics in African settings: a mathematical modelling study
|
|---|---|
| Published in |
BMC Medicine, October 2020
|
| DOI | 10.1186/s12916-020-01789-2 |
| Pubmed ID | |
| Authors |
Kevin van Zandvoort, Christopher I. Jarvis, Carl A. B. Pearson, Nicholas G. Davies, Ruwan Ratnayake, Timothy W. Russell, Adam J. Kucharski, Mark Jit, Stefan Flasche, Rosalind M. Eggo, Francesco Checchi |
X Demographics
The data shown below were collected from the profiles of 8 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 Kingdom | 4 | 50% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 317 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 317 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 54 | 17% |
| Student > Master | 42 | 13% |
| Student > Ph. D. Student | 23 | 7% |
| Student > Bachelor | 21 | 7% |
| Other | 14 | 4% |
| Other | 50 | 16% |
| Unknown | 113 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 55 | 17% |
| Nursing and Health Professions | 24 | 8% |
| Mathematics | 16 | 5% |
| Agricultural and Biological Sciences | 14 | 4% |
| Social Sciences | 13 | 4% |
| Other | 63 | 20% |
| Unknown | 132 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 August 2021.
All research outputs
#5,842,157
of 23,248,929 outputs
Outputs from BMC Medicine
#2,307
of 3,500 outputs
Outputs of similar age
#127,306
of 415,857 outputs
Outputs of similar age from BMC Medicine
#83
of 120 outputs
Altmetric has tracked 23,248,929 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,500 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 415,857 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.