| Title |
Disparity in risk factor pattern in premature versus late-onset coronary artery disease: a survey of 15,381 patients
|
|---|---|
| Published in |
Vascular Health and Risk Management, August 2012
|
| DOI | 10.2147/vhrm.s33305 |
| Pubmed ID | |
| Authors |
Rona Reibis, Andras Treszl, Karl Wegscheider, Kurt Bestehorn, Barbara Karmann, Heinz Völler |
| Abstract |
There are few data available regarding the specificity and modifiability of major cardiovascular (CV) risk factors in patients with premature versus (vs) late-onset coronary artery disease (CAD). This study was designed to analyze and compare these risk factors. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Spain | 1 | 2% |
| Unknown | 60 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 14% |
| Researcher | 9 | 14% |
| Student > Ph. D. Student | 6 | 10% |
| Student > Bachelor | 5 | 8% |
| Student > Postgraduate | 5 | 8% |
| Other | 9 | 14% |
| Unknown | 20 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 37% |
| Nursing and Health Professions | 5 | 8% |
| Agricultural and Biological Sciences | 3 | 5% |
| Unspecified | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 22 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 18 August 2012.
All research outputs
#17,438,425
of 25,584,565 outputs
Outputs from Vascular Health and Risk Management
#531
of 785 outputs
Outputs of similar age
#118,450
of 179,468 outputs
Outputs of similar age from Vascular Health and Risk Management
#8
of 12 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 785 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 17th percentile – i.e., 17% 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 179,468 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.