| Title |
Gene ontology analysis for RNA-seq: accounting for selection bias
|
|---|---|
| Published in |
Genome Biology, February 2010
|
| DOI | 10.1186/gb-2010-11-2-r14 |
| Pubmed ID | |
| Authors |
Matthew D Young, Matthew J Wakefield, Gordon K Smyth, Alicia Oshlack |
| Abstract |
We present GOseq, an application for performing Gene Ontology (GO) analysis on RNA-seq data. GO analysis is widely used to reduce complexity and highlight biological processes in genome-wide expression studies, but standard methods give biased results on RNA-seq data due to over-detection of differential expression for long and highly expressed transcripts. Application of GOseq to a prostate cancer data set shows that GOseq dramatically changes the results, highlighting categories more consistent with the known biology. |
X Demographics
The data shown below were collected from the profiles of 74 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 | 22 | 30% |
| United Kingdom | 7 | 9% |
| France | 4 | 5% |
| India | 4 | 5% |
| Germany | 4 | 5% |
| Australia | 3 | 4% |
| Canada | 2 | 3% |
| Sweden | 1 | 1% |
| Guinea | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 22 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 52 | 70% |
| Members of the public | 18 | 24% |
| Science communicators (journalists, bloggers, editors) | 4 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,502 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 49 | 2% |
| United Kingdom | 13 | <1% |
| Germany | 11 | <1% |
| Italy | 8 | <1% |
| Brazil | 8 | <1% |
| Mexico | 7 | <1% |
| France | 5 | <1% |
| China | 4 | <1% |
| Spain | 4 | <1% |
| Other | 44 | 2% |
| Unknown | 2349 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 635 | 25% |
| Researcher | 545 | 22% |
| Student > Master | 292 | 12% |
| Student > Bachelor | 179 | 7% |
| Student > Doctoral Student | 129 | 5% |
| Other | 334 | 13% |
| Unknown | 388 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1107 | 44% |
| Biochemistry, Genetics and Molecular Biology | 489 | 20% |
| Medicine and Dentistry | 92 | 4% |
| Computer Science | 77 | 3% |
| Immunology and Microbiology | 47 | 2% |
| Other | 237 | 9% |
| Unknown | 453 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 66. 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 01 May 2024.
All research outputs
#660,106
of 25,824,818 outputs
Outputs from Genome Biology
#407
of 4,520 outputs
Outputs of similar age
#2,346
of 175,335 outputs
Outputs of similar age from Genome Biology
#3
of 24 outputs
Altmetric has tracked 25,824,818 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,520 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 done particularly well, scoring higher than 90% 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 175,335 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 98% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.