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X Demographics
Mendeley readers
Attention Score in Context
| Title |
variancePartition: interpreting drivers of variation in complex gene expression studies
|
|---|---|
| Published in |
BMC Bioinformatics, November 2016
|
| DOI | 10.1186/s12859-016-1323-z |
| Pubmed ID | |
| Authors |
Gabriel E. Hoffman, Eric E. Schadt |
| Abstract |
As large-scale studies of gene expression with multiple sources of biological and technical variation become widely adopted, characterizing these drivers of variation becomes essential to understanding disease biology and regulatory genetics. We describe a statistical and visualization framework, variancePartition, to prioritize drivers of variation based on a genome-wide summary, and identify genes that deviate from the genome-wide trend. Using a linear mixed model, variancePartition quantifies variation in each expression trait attributable to differences in disease status, sex, cell or tissue type, ancestry, genetic background, experimental stimulus, or technical variables. Analysis of four large-scale transcriptome profiling datasets illustrates that variancePartition recovers striking patterns of biological and technical variation that are reproducible across multiple datasets. Our open source software, variancePartition, enables rapid interpretation of complex gene expression studies as well as other high-throughput genomics assays. variancePartition is available from Bioconductor: http://bioconductor.org/packages/variancePartition . |
X Demographics
The data shown below were collected from the profiles of 9 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 | 4 | 44% |
| France | 2 | 22% |
| Australia | 1 | 11% |
| United Kingdom | 1 | 11% |
| Unknown | 1 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 67% |
| Members of the public | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 314 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| Unknown | 311 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 85 | 27% |
| Student > Ph. D. Student | 70 | 22% |
| Student > Master | 23 | 7% |
| Student > Bachelor | 23 | 7% |
| Student > Postgraduate | 17 | 5% |
| Other | 38 | 12% |
| Unknown | 58 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 70 | 22% |
| Agricultural and Biological Sciences | 67 | 21% |
| Medicine and Dentistry | 19 | 6% |
| Neuroscience | 17 | 5% |
| Computer Science | 11 | 4% |
| Other | 58 | 18% |
| Unknown | 72 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 09 August 2023.
All research outputs
#1,654,026
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#264
of 7,763 outputs
Outputs of similar age
#31,935
of 419,197 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 116 outputs
Altmetric has tracked 25,837,817 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 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 96% 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 419,197 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 92% of its contemporaries.
We're also able to compare this research output to 116 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 98% of its contemporaries.