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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modelling local gene networks increases power to detect trans-acting genetic effects on gene expression
|
|---|---|
| Published in |
Genome Biology, February 2016
|
| DOI | 10.1186/s13059-016-0895-2 |
| Pubmed ID | |
| Authors |
Barbara Rakitsch, Oliver Stegle |
| Abstract |
Expression quantitative trait loci (eQTL) mapping is a widely used tool to study the genetics of gene expression. Confounding factors and the burden of multiple testing limit the ability to map distal trans eQTLs, which is important to understand downstream genetic effects on genes and pathways. We propose a two-stage linear mixed model that first learns local directed gene-regulatory networks to then condition on the expression levels of selected genes. We show that this covariate selection approach controls for confounding factors and regulatory context, thereby increasing eQTL detection power and improving the consistency between studies. GNet-LMM is available at: https://github.com/PMBio/GNetLMM . |
X Demographics
The data shown below were collected from the profiles of 33 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 | 9 | 27% |
| United Kingdom | 4 | 12% |
| Germany | 2 | 6% |
| Denmark | 1 | 3% |
| Estonia | 1 | 3% |
| Belgium | 1 | 3% |
| France | 1 | 3% |
| Spain | 1 | 3% |
| Australia | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 20 | 61% |
| Members of the public | 12 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| France | 1 | 1% |
| Netherlands | 1 | 1% |
| Brazil | 1 | 1% |
| Norway | 1 | 1% |
| Unknown | 88 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 34% |
| Researcher | 24 | 26% |
| Student > Master | 11 | 12% |
| Professor > Associate Professor | 5 | 5% |
| Student > Bachelor | 5 | 5% |
| Other | 11 | 12% |
| Unknown | 6 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 44% |
| Biochemistry, Genetics and Molecular Biology | 22 | 23% |
| Computer Science | 13 | 14% |
| Mathematics | 3 | 3% |
| Engineering | 3 | 3% |
| Other | 3 | 3% |
| Unknown | 9 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 05 February 2018.
All research outputs
#1,864,445
of 25,371,288 outputs
Outputs from Genome Biology
#1,556
of 4,467 outputs
Outputs of similar age
#29,720
of 313,152 outputs
Outputs of similar age from Genome Biology
#28
of 65 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 65% 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 313,152 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 90% of its contemporaries.
We're also able to compare this research output to 65 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 56% of its contemporaries.