| Title |
Quantifying the uncertainty of CovidSim
|
|---|---|
| Published in |
Nature Computational Science, February 2021
|
| DOI | 10.1038/s43588-021-00031-0 |
| Pubmed ID | |
| Authors |
Kathy Leung, Joseph T. Wu |
X Demographics
The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 6 | 19% |
| Hong Kong | 4 | 13% |
| United States | 1 | 3% |
| Thailand | 1 | 3% |
| United Kingdom | 1 | 3% |
| Switzerland | 1 | 3% |
| Poland | 1 | 3% |
| Unknown | 17 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 81% |
| Scientists | 5 | 16% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 44% |
| Student > Ph. D. Student | 1 | 11% |
| Unspecified | 1 | 11% |
| Unknown | 3 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 33% |
| Unspecified | 1 | 11% |
| Chemistry | 1 | 11% |
| Mathematics | 1 | 11% |
| Unknown | 3 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 March 2021.
All research outputs
#1,503,363
of 24,457,056 outputs
Outputs from Nature Computational Science
#109
of 504 outputs
Outputs of similar age
#40,583
of 424,362 outputs
Outputs of similar age from Nature Computational Science
#15
of 51 outputs
Altmetric has tracked 24,457,056 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 504 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.3. This one has done well, scoring higher than 78% 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 424,362 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 90% of its contemporaries.
We're also able to compare this research output to 51 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 72% of its contemporaries.