| Title |
Serum protein profiles predict coronary artery disease in symptomatic patients referred for coronary angiography
|
|---|---|
| Published in |
BMC Medicine, December 2012
|
| DOI | 10.1186/1741-7015-10-157 |
| Pubmed ID | |
| Authors |
William A LaFramboise, Rajiv Dhir, Lori A Kelly, Patricia Petrosko, John M Krill-Burger, Christin M Sciulli, Maureen A Lyons-Weiler, Uma R Chandran, Aleksey Lomakin, Robert V Masterson, Oscar C Marroquin, Suresh R Mulukutla, Dennis M McNamara |
| Abstract |
More than a million diagnostic cardiac catheterizations are performed annually in the US for evaluation of coronary artery anatomy and the presence of atherosclerosis. Nearly half of these patients have no significant coronary lesions or do not require mechanical or surgical revascularization. Consequently, the ability to rule out clinically significant coronary artery disease (CAD) using low cost, low risk tests of serum biomarkers in even a small percentage of patients with normal coronary arteries could be highly beneficial. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 29% |
| United States | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Practitioners (doctors, other healthcare professionals) | 2 | 29% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 68 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 16% |
| Student > Master | 8 | 12% |
| Student > Bachelor | 7 | 10% |
| Student > Ph. D. Student | 5 | 7% |
| Professor > Associate Professor | 5 | 7% |
| Other | 13 | 19% |
| Unknown | 20 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 39% |
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Agricultural and Biological Sciences | 4 | 6% |
| Nursing and Health Professions | 3 | 4% |
| Computer Science | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 23 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 30 April 2014.
All research outputs
#2,345,695
of 23,881,329 outputs
Outputs from BMC Medicine
#1,535
of 3,613 outputs
Outputs of similar age
#22,750
of 283,054 outputs
Outputs of similar age from BMC Medicine
#33
of 63 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,613 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.6. This one has gotten more attention than average, scoring higher than 57% 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 283,054 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 91% 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 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.