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Mendeley readers
Attention Score in Context
| Title |
Determining causality and consequence of expression quantitative trait loci
|
|---|---|
| Published in |
Human Genetics, April 2014
|
| DOI | 10.1007/s00439-014-1446-0 |
| Pubmed ID | |
| Authors |
A. Battle, S. B. Montgomery |
| Abstract |
Expression quantitative trait loci (eQTLs) are currently the most abundant and systematically-surveyed class of functional consequence for genetic variation. Recent genetic studies of gene expression have identified thousands of eQTLs in diverse tissue types for the majority of human genes. Application of this large eQTL catalog provides an important resource for understanding the molecular basis of common genetic diseases. However, only now has both the availability of individuals with full genomes and corresponding advances in functional genomics provided the opportunity to dissect eQTLs to identify causal regulatory variants. Resolving the properties of such causal regulatory variants is improving understanding of the molecular mechanisms that influence traits and guiding the development of new genome-scale approaches to variant interpretation. In this review, we provide an overview of current computational and experimental methods for identifying causal regulatory variants and predicting their phenotypic consequences. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 40% |
| Uzbekistan | 1 | 20% |
| Spain | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| Denmark | 2 | 1% |
| Netherlands | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 133 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 42% |
| Researcher | 26 | 18% |
| Student > Master | 19 | 13% |
| Student > Bachelor | 8 | 6% |
| Student > Doctoral Student | 6 | 4% |
| Other | 13 | 9% |
| Unknown | 11 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 69 | 48% |
| Biochemistry, Genetics and Molecular Biology | 31 | 22% |
| Medicine and Dentistry | 13 | 9% |
| Computer Science | 6 | 4% |
| Mathematics | 2 | 1% |
| Other | 6 | 4% |
| Unknown | 16 | 11% |
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 07 June 2014.
All research outputs
#13,175,249
of 22,754,104 outputs
Outputs from Human Genetics
#2,367
of 2,950 outputs
Outputs of similar age
#109,243
of 226,899 outputs
Outputs of similar age from Human Genetics
#17
of 22 outputs
Altmetric has tracked 22,754,104 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,950 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 19th percentile – i.e., 19% 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 226,899 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 51% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.