| Title |
Red Blood Cell Fatty Acid Patterns and Acute Coronary Syndrome
|
|---|---|
| Published in |
PLOS ONE, May 2009
|
| DOI | 10.1371/journal.pone.0005444 |
| Pubmed ID | |
| Authors |
Gregory C. Shearer, James V. Pottala, John A. Spertus, William S. Harris |
| Abstract |
Assessment of coronary heart disease (CHD) risk is typically based on a weighted combination of standard risk factors. We sought to determine the extent to which a lipidomic approach based on red blood cell fatty acid (RBC-FA) profiles could discriminate acute coronary syndrome (ACS) cases from controls, and to compare RBC-FA discrimination with that based on standard 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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Japan | 1 | 2% |
| Unknown | 42 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 22% |
| Student > Ph. D. Student | 7 | 16% |
| Other | 4 | 9% |
| Lecturer > Senior Lecturer | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 11 | 24% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 31% |
| Medicine and Dentistry | 8 | 18% |
| Biochemistry, Genetics and Molecular Biology | 6 | 13% |
| Nursing and Health Professions | 2 | 4% |
| Computer Science | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 11 | 24% |