| Title |
Development and validation of a cardiovascular disease risk-prediction model using population health surveys: the Cardiovascular Disease Population Risk Tool (CVDPoRT)
|
|---|---|
| Published in |
Canadian Medical Association Journal, July 2018
|
| DOI | 10.1503/cmaj.170914 |
| Pubmed ID | |
| Authors |
Douglas G Manuel, Meltem Tuna, Carol Bennett, Deirdre Hennessy, Laura Rosella, Claudia Sanmartin, Jack V Tu, Richard Perez, Stacey Fisher, Monica Taljaard |
X Demographics
The data shown below were collected from the profiles of 50 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 | 20 | 40% |
| United States | 5 | 10% |
| United Kingdom | 1 | 2% |
| Mexico | 1 | 2% |
| Colombia | 1 | 2% |
| Australia | 1 | 2% |
| Brazil | 1 | 2% |
| Greece | 1 | 2% |
| Unknown | 19 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 35 | 70% |
| Scientists | 8 | 16% |
| Practitioners (doctors, other healthcare professionals) | 7 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 104 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 18% |
| Student > Master | 19 | 18% |
| Student > Ph. D. Student | 12 | 12% |
| Student > Bachelor | 10 | 10% |
| Student > Doctoral Student | 5 | 5% |
| Other | 21 | 20% |
| Unknown | 18 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 36% |
| Nursing and Health Professions | 11 | 11% |
| Psychology | 5 | 5% |
| Computer Science | 4 | 4% |
| Neuroscience | 4 | 4% |
| Other | 19 | 18% |
| Unknown | 24 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 121. 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 14 February 2019.
All research outputs
#350,616
of 26,017,215 outputs
Outputs from Canadian Medical Association Journal
#629
of 9,534 outputs
Outputs of similar age
#7,463
of 344,228 outputs
Outputs of similar age from Canadian Medical Association Journal
#12
of 117 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,534 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.1. This one has done particularly well, scoring higher than 93% 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 344,228 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 97% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.