| Title |
Value of Low-Density Lipoprotein Particle Number and Size as Predictors of Coronary Artery Disease in Apparently Healthy Men and Women The EPIC-Norfolk Prospective Population Study
|
|---|---|
| Published in |
JACC, January 2007
|
| DOI | 10.1016/j.jacc.2006.09.043 |
| Pubmed ID | |
| Authors |
Karim El Harchaoui, Wim A. van der Steeg, Erik S.G. Stroes, Jan Albert Kuivenhoven, James D. Otvos, Nicholas J. Wareham, Barbara A. Hutten, John J.P. Kastelein, Kay-Tee Khaw, S. Matthijs Boekholdt |
| Abstract |
We assessed relations of low-density lipoprotein (LDL) particle number (LDL-P) and LDL particle size as measured by nuclear magnetic resonance spectroscopy with LDL cholesterol (LDL-C) and the risk of future coronary artery disease (CAD). |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Spain | 1 | 1% |
| New Zealand | 1 | 1% |
| Unknown | 93 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 22% |
| Researcher | 17 | 17% |
| Other | 13 | 13% |
| Student > Bachelor | 7 | 7% |
| Professor > Associate Professor | 6 | 6% |
| Other | 22 | 22% |
| Unknown | 11 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 41 | 42% |
| Agricultural and Biological Sciences | 20 | 20% |
| Biochemistry, Genetics and Molecular Biology | 10 | 10% |
| Nursing and Health Professions | 4 | 4% |
| Computer Science | 1 | 1% |
| Other | 6 | 6% |
| Unknown | 16 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 05 April 2023.
All research outputs
#1,908,124
of 25,837,817 outputs
Outputs from JACC
#4,171
of 16,938 outputs
Outputs of similar age
#5,810
of 174,919 outputs
Outputs of similar age from JACC
#9
of 81 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,938 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.1. This one has done well, scoring higher than 75% 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 174,919 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 96% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.