You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Japan | 1 | 2% |
| Unknown | 41 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 23% |
| Student > Ph. D. Student | 7 | 16% |
| Other | 4 | 9% |
| Lecturer > Senior Lecturer | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 10 | 23% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 30% |
| Medicine and Dentistry | 8 | 18% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Nursing and Health Professions | 2 | 5% |
| Computer Science | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 11 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 November 2012.
All research outputs
#14,154,868
of 22,684,168 outputs
Outputs from PLOS ONE
#115,680
of 193,651 outputs
Outputs of similar age
#76,775
of 92,773 outputs
Outputs of similar age from PLOS ONE
#421
of 506 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,651 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 36th percentile – i.e., 36% 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 92,773 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 506 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.