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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimating Missing Heritability for Disease from Genome-wide Association Studies
|
|---|---|
| Published in |
American Journal of Human Genetics, March 2011
|
| DOI | 10.1016/j.ajhg.2011.02.002 |
| Pubmed ID | |
| Authors |
Sang Hong Lee, Naomi R. Wray, Michael E. Goddard, Peter M. Visscher |
| Abstract |
Genome-wide association studies are designed to discover SNPs that are associated with a complex trait. Employing strict significance thresholds when testing individual SNPs avoids false positives at the expense of increasing false negatives. Recently, we developed a method for quantitative traits that estimates the variation accounted for when fitting all SNPs simultaneously. Here we develop this method further for case-control studies. We use a linear mixed model for analysis of binary traits and transform the estimates to a liability scale by adjusting both for scale and for ascertainment of the case samples. We show by theory and simulation that the method is unbiased. We apply the method to data from the Wellcome Trust Case Control Consortium and show that a substantial proportion of variation in liability for Crohn disease, bipolar disorder, and type I diabetes is tagged by common SNPs. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 1 | 13% |
| Ireland | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 895 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 27 | 3% |
| United Kingdom | 6 | <1% |
| Australia | 4 | <1% |
| Germany | 3 | <1% |
| Netherlands | 2 | <1% |
| France | 2 | <1% |
| Belgium | 2 | <1% |
| Hungary | 2 | <1% |
| Norway | 1 | <1% |
| Other | 8 | <1% |
| Unknown | 838 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 234 | 26% |
| Researcher | 227 | 25% |
| Student > Master | 93 | 10% |
| Student > Postgraduate | 43 | 5% |
| Student > Bachelor | 43 | 5% |
| Other | 162 | 18% |
| Unknown | 93 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 324 | 36% |
| Biochemistry, Genetics and Molecular Biology | 131 | 15% |
| Medicine and Dentistry | 104 | 12% |
| Psychology | 41 | 5% |
| Computer Science | 35 | 4% |
| Other | 135 | 15% |
| Unknown | 125 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 29 October 2020.
All research outputs
#1,621,674
of 26,017,215 outputs
Outputs from American Journal of Human Genetics
#890
of 6,012 outputs
Outputs of similar age
#6,368
of 124,993 outputs
Outputs of similar age from American Journal of Human Genetics
#2
of 37 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,012 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done well, scoring higher than 84% 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 124,993 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.