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.
Mendeley readers
Attention Score in Context
| Title |
Candidate genetic analysis of plasma high-density lipoprotein-cholesterol and severity of coronary atherosclerosis
|
|---|---|
| Published in |
BMC Medical Genomics, October 2009
|
| DOI | 10.1186/1471-2350-10-111 |
| Pubmed ID | |
| Authors |
Suet Nee Chen, Mehmet Cilingiroglu, Josh Todd, Raffaella Lombardi, James T Willerson, Antonio M Gotto, Christie M Ballantyne, AJ Marian |
| Abstract |
Plasma level of high-density lipoprotein-cholesterol (HDL-C), a heritable trait, is an important determinant of susceptibility to atherosclerosis. Non-synonymous and regulatory single nucleotide polymorphisms (SNPs) in genes implicated in HDL-C synthesis and metabolism are likely to influence plasma HDL-C, apolipoprotein A-I (apo A-I) levels and severity of coronary atherosclerosis. |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Morocco | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 49 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 23% |
| Researcher | 8 | 15% |
| Student > Master | 7 | 13% |
| Student > Bachelor | 4 | 8% |
| Professor | 4 | 8% |
| Other | 8 | 15% |
| Unknown | 10 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 28% |
| Medicine and Dentistry | 12 | 23% |
| Biochemistry, Genetics and Molecular Biology | 10 | 19% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 13 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 June 2018.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from BMC Medical Genomics
#637
of 2,444 outputs
Outputs of similar age
#38,575
of 108,322 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 11 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 65% 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 108,322 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.