| Title |
Validation of a model to investigate the effects of modifying cardiovascular disease (CVD) risk factors on the burden of CVD: the rotterdam ischemic heart disease and stroke computer simulation (RISC) model
|
|---|---|
| Published in |
BMC Medicine, December 2012
|
| DOI | 10.1186/1741-7015-10-158 |
| Pubmed ID | |
| Authors |
Bob JH van Kempen, Bart S Ferket, Albert Hofman, Ewout W Steyerberg, Ersen B Colkesen, S Matthijs Boekholdt, Nicholas J Wareham, Kay-Tee Khaw, MG Myriam Hunink |
| Abstract |
We developed a Monte Carlo Markov model designed to investigate the effects of modifying cardiovascular disease (CVD) risk factors on the burden of CVD. Internal, predictive, and external validity of the model have not yet been established. |
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 % |
|---|---|---|
| United Kingdom | 2 | 50% |
| United States | 1 | 25% |
| Namibia | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 3% |
| Unknown | 36 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 19% |
| Student > Ph. D. Student | 6 | 16% |
| Student > Bachelor | 5 | 14% |
| Professor > Associate Professor | 4 | 11% |
| Student > Master | 4 | 11% |
| Other | 8 | 22% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 54% |
| Computer Science | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 8 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 11 December 2012.
All research outputs
#3,075,084
of 22,689,790 outputs
Outputs from BMC Medicine
#1,779
of 3,399 outputs
Outputs of similar age
#31,911
of 278,002 outputs
Outputs of similar age from BMC Medicine
#41
of 63 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,399 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one is in the 47th percentile – i.e., 47% 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 278,002 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.