| Title |
Prediction Models in Veterinary and Human Epidemiology: Our Experience With Modeling Sars-CoV-2 Spread
|
|---|---|
| Published in |
Frontiers in Veterinary Science, August 2020
|
| DOI | 10.3389/fvets.2020.00513 |
| Pubmed ID | |
| Authors |
Tariq Halasa, Kaare Græsbøll, Matthew Denwood, Lasse Engbo Christensen, Carsten Kirkeby |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| Chile | 1 | 9% |
| Ecuador | 1 | 9% |
| Switzerland | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 2 | 18% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 6 | 17% |
| Student > Master | 4 | 11% |
| Researcher | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Professor | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 14 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 19% |
| Agricultural and Biological Sciences | 5 | 14% |
| Veterinary Science and Veterinary Medicine | 4 | 11% |
| Nursing and Health Professions | 2 | 6% |
| Social Sciences | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 12 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 19 January 2022.
All research outputs
#4,675,064
of 22,925,760 outputs
Outputs from Frontiers in Veterinary Science
#822
of 6,287 outputs
Outputs of similar age
#114,017
of 397,554 outputs
Outputs of similar age from Frontiers in Veterinary Science
#56
of 338 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 86% 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 397,554 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 71% of its contemporaries.
We're also able to compare this research output to 338 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.