| Title |
The use of simulation to prepare and improve responses to infectious disease outbreaks like COVID-19: practical tips and resources from Norway, Denmark, and the UK
|
|---|---|
| Published in |
Advances in Simulation, April 2020
|
| DOI | 10.1186/s41077-020-00121-5 |
| Pubmed ID | |
| Authors |
Peter Dieckmann, Kjetil Torgeirsen, Sigrun Anna Qvindesland, Libby Thomas, Verity Bushell, Hege Langli Ersdal |
X Demographics
The data shown below were collected from the profiles of 85 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 | 13 | 15% |
| United States | 9 | 11% |
| Saudi Arabia | 5 | 6% |
| Spain | 3 | 4% |
| Australia | 2 | 2% |
| New Zealand | 1 | 1% |
| Lebanon | 1 | 1% |
| Ecuador | 1 | 1% |
| China | 1 | 1% |
| Other | 7 | 8% |
| Unknown | 42 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 51 | 60% |
| Practitioners (doctors, other healthcare professionals) | 17 | 20% |
| Scientists | 15 | 18% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 216 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 14% |
| Student > Master | 22 | 10% |
| Other | 18 | 8% |
| Student > Bachelor | 18 | 8% |
| Student > Ph. D. Student | 13 | 6% |
| Other | 53 | 25% |
| Unknown | 62 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 66 | 31% |
| Nursing and Health Professions | 23 | 11% |
| Biochemistry, Genetics and Molecular Biology | 8 | 4% |
| Engineering | 8 | 4% |
| Agricultural and Biological Sciences | 6 | 3% |
| Other | 33 | 15% |
| Unknown | 72 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 69. 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 30 May 2022.
All research outputs
#608,913
of 25,199,243 outputs
Outputs from Advances in Simulation
#12
of 271 outputs
Outputs of similar age
#15,623
of 348,334 outputs
Outputs of similar age from Advances in Simulation
#2
of 4 outputs
Altmetric has tracked 25,199,243 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 271 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one has done particularly well, scoring higher than 95% 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 348,334 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 95% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.