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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of Gene-Gene Interactions among Common Variants in Candidate Cardiovascular Genes in Coronary Artery Disease
|
|---|---|
| Published in |
PLOS ONE, February 2015
|
| DOI | 10.1371/journal.pone.0117684 |
| Pubmed ID | |
| Authors |
Muntaser D. Musameh, William Y. S. Wang, Christopher P. Nelson, Carla Lluís-Ganella, Radoslaw Debiec, Isaac Subirana, Roberto Elosua, Anthony J. Balmforth, Stephen G. Ball, Alistair S. Hall, Sekar Kathiresan, John R. Thompson, Gavin Lucas, Nilesh J. Samani, Maciej Tomaszewski |
| Abstract |
Only a small fraction of coronary artery disease (CAD) heritability has been explained by common variants identified to date. Interactions between genes of importance to cardiovascular regulation may account for some of the missing heritability of CAD. This study aimed to investigate the role of gene-gene interactions in common variants in candidate cardiovascular genes in CAD. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Unknown | 34 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 31% |
| Researcher | 7 | 20% |
| Student > Bachelor | 4 | 11% |
| Student > Master | 3 | 9% |
| Professor > Associate Professor | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 29% |
| Biochemistry, Genetics and Molecular Biology | 8 | 23% |
| Medicine and Dentistry | 8 | 23% |
| Mathematics | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 4 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 10 February 2015.
All research outputs
#18,397,250
of 22,787,797 outputs
Outputs from PLOS ONE
#154,697
of 194,524 outputs
Outputs of similar age
#256,514
of 352,111 outputs
Outputs of similar age from PLOS ONE
#2,636
of 3,743 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,524 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 10th percentile – i.e., 10% 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 352,111 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,743 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.