| Title |
Epidemiological models are important tools for guiding COVID-19 interventions
|
|---|---|
| Published in |
BMC Medicine, May 2020
|
| DOI | 10.1186/s12916-020-01628-4 |
| Pubmed ID | |
| Authors |
Robin N. Thompson |
X Demographics
The data shown below were collected from the profiles of 16 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 | 25% |
| United States | 2 | 13% |
| France | 1 | 6% |
| Mexico | 1 | 6% |
| Unknown | 8 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 44% |
| Scientists | 6 | 38% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 166 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 16% |
| Student > Bachelor | 21 | 13% |
| Researcher | 19 | 11% |
| Student > Ph. D. Student | 13 | 8% |
| Other | 10 | 6% |
| Other | 32 | 19% |
| Unknown | 45 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 19% |
| Mathematics | 17 | 10% |
| Computer Science | 9 | 5% |
| Nursing and Health Professions | 8 | 5% |
| Engineering | 8 | 5% |
| Other | 39 | 23% |
| Unknown | 54 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 31 January 2022.
All research outputs
#1,988,636
of 24,647,023 outputs
Outputs from BMC Medicine
#1,354
of 3,810 outputs
Outputs of similar age
#52,604
of 397,884 outputs
Outputs of similar age from BMC Medicine
#41
of 101 outputs
Altmetric has tracked 24,647,023 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,810 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.9. This one has gotten more attention than average, scoring higher than 64% 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 397,884 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.