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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrative Bioinformatics Approaches for Identification of Drug Targets in Hypertension
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, April 2018
|
| DOI | 10.3389/fcvm.2018.00025 |
| Pubmed ID | |
| Authors |
Daiane Hemerich, Jessica van Setten, Vinicius Tragante, Folkert W. Asselbergs |
| Abstract |
High blood pressure or hypertension is an established risk factor for a myriad of cardiovascular diseases. Genome-wide association studies have successfully found over nine hundred loci that contribute to blood pressure. However, the mechanisms through which these loci contribute to disease are still relatively undetermined as less than 10% of hypertension-associated variants are located in coding regions. Phenotypic cell-type specificity analyses and expression quantitative trait loci show predominant vascular and cardiac tissue involvement for blood pressure-associated variants. Maps of chromosomal conformation and expression quantitative trait loci (eQTL) in critical tissues identified 2,424 genes interacting with blood pressure-associated loci, of which 517 are druggable. Integrating genome, regulome and transcriptome information in relevant cell-types could help to functionally annotate blood pressure associated loci and identify drug targets. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Bachelor | 3 | 13% |
| Other | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 9 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 26% |
| Agricultural and Biological Sciences | 3 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Social Sciences | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 June 2018.
All research outputs
#7,493,158
of 23,035,022 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,227
of 6,945 outputs
Outputs of similar age
#130,621
of 329,119 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#7
of 35 outputs
Altmetric has tracked 23,035,022 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 6,945 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 81% 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 329,119 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 59% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.