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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using Gene Expression to Annotate Cardiovascular GWAS Loci
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, June 2018
|
| DOI | 10.3389/fcvm.2018.00059 |
| Pubmed ID | |
| Authors |
Matthias Heinig |
| Abstract |
Genetic variants at hundreds of loci associated with cardiovascular phenotypes have been identified by genome wide association studies. Most of these variants are located in intronic or intergenic regions rendering the functional and mechanistic follow up difficult. These non-protein-coding regions harbor regulatory sequences. Thus the study of genetic variants associated with transcription-so called expression quantitative trait loci-has emerged as a promising approach to identify regulatory sequence variants. The genes and pathways they control constitute candidate causal drivers at cardiovascular risk loci. This review provides an overview of the expression quantitative trait loci resources available for cardiovascular genetics research and the most commonly used approaches for candidate gene identification. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 11% |
| Canada | 1 | 11% |
| Switzerland | 1 | 11% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 23% |
| Researcher | 8 | 21% |
| Student > Master | 5 | 13% |
| Professor | 4 | 10% |
| Other | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 38% |
| Medicine and Dentistry | 4 | 10% |
| Computer Science | 3 | 8% |
| Agricultural and Biological Sciences | 2 | 5% |
| Immunology and Microbiology | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 11 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 04 July 2018.
All research outputs
#5,935,788
of 23,083,773 outputs
Outputs from Frontiers in Cardiovascular Medicine
#892
of 6,999 outputs
Outputs of similar age
#103,623
of 329,775 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#12
of 58 outputs
Altmetric has tracked 23,083,773 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 6,999 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 87% 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 329,775 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.