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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mathematical modelling of vaccination rollout and NPIs lifting on COVID-19 transmission with VOC: a case study in Toronto, Canada
|
|---|---|
| Published in |
BMC Public Health, July 2022
|
| DOI | 10.1186/s12889-022-13597-9 |
| Pubmed ID | |
| Authors |
Elena Aruffo, Pei Yuan, Yi Tan, Evgenia Gatov, Iain Moyles, Jacques Bélair, James Watmough, Sarah Collier, Julien Arino, Huaiping Zhu |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 11% |
| Researcher | 3 | 11% |
| Student > Master | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Student > Bachelor | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 14 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 3 | 11% |
| Medicine and Dentistry | 2 | 7% |
| Business, Management and Accounting | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 17 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 04 October 2022.
All research outputs
#7,861,589
of 24,564,172 outputs
Outputs from BMC Public Health
#8,270
of 16,232 outputs
Outputs of similar age
#143,211
of 425,460 outputs
Outputs of similar age from BMC Public Health
#163
of 411 outputs
Altmetric has tracked 24,564,172 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 16,232 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 48th percentile – i.e., 48% 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 425,460 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 65% of its contemporaries.
We're also able to compare this research output to 411 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 59% of its contemporaries.