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Mendeley readers
Attention Score in Context
| Title |
Novel Genetic Analysis for Case-Control Genome-Wide Association Studies: Quantification of Power and Genomic Prediction Accuracy
|
|---|---|
| Published in |
PLOS ONE, August 2013
|
| DOI | 10.1371/journal.pone.0071494 |
| Pubmed ID | |
| Authors |
Sang Hong Lee, Naomi R. Wray |
| Abstract |
Genome-wide association studies (GWAS) are routinely conducted for both quantitative and binary (disease) traits. We present two analytical tools for use in the experimental design of GWAS. Firstly, we present power calculations quantifying power in a unified framework for a range of scenarios. In this context we consider the utility of quantitative scores (e.g. endophenotypes) that may be available on cases only or both cases and controls. Secondly, we consider, the accuracy of prediction of genetic risk from genome-wide SNPs and derive an expression for genomic prediction accuracy using a liability threshold model for disease traits in a case-control design. The expected values based on our derived equations for both power and prediction accuracy agree well with observed estimates from simulations. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 5% |
| United States | 1 | 2% |
| Unknown | 41 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 25% |
| Student > Ph. D. Student | 10 | 23% |
| Student > Master | 5 | 11% |
| Other | 5 | 11% |
| Student > Postgraduate | 4 | 9% |
| Other | 3 | 7% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 30% |
| Biochemistry, Genetics and Molecular Biology | 8 | 18% |
| Psychology | 4 | 9% |
| Computer Science | 3 | 7% |
| Medicine and Dentistry | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 10 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 19 July 2019.
All research outputs
#13,390,169
of 22,719,618 outputs
Outputs from PLOS ONE
#106,734
of 193,931 outputs
Outputs of similar age
#104,459
of 198,419 outputs
Outputs of similar age from PLOS ONE
#2,471
of 4,672 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,931 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 42nd percentile – i.e., 42% 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 198,419 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,672 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.