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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Translating GWAS Findings to Novel Therapeutic Targets for Coronary Artery Disease
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, May 2018
|
| DOI | 10.3389/fcvm.2018.00056 |
| Pubmed ID | |
| Authors |
Le Shu, Montgomery Blencowe, Xia Yang |
| Abstract |
The success of genome-wide association studies (GWAS) has significantly advanced our understanding of the etiology of coronary artery disease (CAD) and opens new opportunities to reinvigorate the stalling CAD drug development. However, there exists remarkable disconnection between the CAD GWAS findings and commercialized drugs. While this could implicate major untapped translational and therapeutic potentials in CAD GWAS, it also brings forward extensive technical challenges. In this review we summarize the motivation to leverage GWAS for drug discovery, outline the critical bottlenecks in the field, and highlight several promising strategies such as functional genomics and network-based approaches to enhance the translational value of CAD GWAS findings in driving novel therapeutics. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| Netherlands | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 24% |
| Researcher | 13 | 18% |
| Student > Bachelor | 10 | 14% |
| Student > Master | 8 | 11% |
| Other | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 17 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 30% |
| Agricultural and Biological Sciences | 8 | 11% |
| Medicine and Dentistry | 7 | 9% |
| Nursing and Health Professions | 2 | 3% |
| Computer Science | 2 | 3% |
| Other | 11 | 15% |
| Unknown | 22 | 30% |
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 20 December 2018.
All research outputs
#12,900,587
of 23,081,466 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,324
of 6,995 outputs
Outputs of similar age
#155,724
of 331,094 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#19
of 52 outputs
Altmetric has tracked 23,081,466 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 6,995 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 80% 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 331,094 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 52% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.