| Title |
Understanding heterogeneity to inform the public health response to COVID-19 in Canada
|
|---|---|
| Published in |
Canadian Medical Association Journal, June 2020
|
| DOI | 10.1503/cmaj.201112 |
| Pubmed ID | |
| Authors |
Sharmistha Mishra, Jeffrey C Kwong, Adrienne K Chan, Stefan D Baral |
X Demographics
The data shown below were collected from the profiles of 189 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 | 34 | 18% |
| United States | 30 | 16% |
| Australia | 18 | 10% |
| United Kingdom | 11 | 6% |
| Colombia | 2 | 1% |
| Djibouti | 2 | 1% |
| South Africa | 2 | 1% |
| Comoros | 1 | <1% |
| Indonesia | 1 | <1% |
| Other | 7 | 4% |
| Unknown | 81 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 150 | 79% |
| Practitioners (doctors, other healthcare professionals) | 18 | 10% |
| Scientists | 17 | 9% |
| Science communicators (journalists, bloggers, editors) | 4 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 137 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 16% |
| Student > Bachelor | 19 | 14% |
| Student > Ph. D. Student | 10 | 7% |
| Other | 9 | 7% |
| Student > Master | 9 | 7% |
| Other | 24 | 18% |
| Unknown | 44 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 23% |
| Nursing and Health Professions | 9 | 7% |
| Social Sciences | 9 | 7% |
| Agricultural and Biological Sciences | 4 | 3% |
| Biochemistry, Genetics and Molecular Biology | 4 | 3% |
| Other | 27 | 20% |
| Unknown | 53 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 173. 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 16 February 2024.
All research outputs
#237,328
of 25,736,439 outputs
Outputs from Canadian Medical Association Journal
#426
of 9,541 outputs
Outputs of similar age
#7,957
of 434,318 outputs
Outputs of similar age from Canadian Medical Association Journal
#11
of 120 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,541 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.2. 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 434,318 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 98% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.