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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data
|
|---|---|
| Published in |
Genome Biology, September 2013
|
| DOI | 10.1186/gb-2013-14-9-r95 |
| Pubmed ID | |
| Authors |
Franck Rapaport, Raya Khanin, Yupu Liang, Mono Pirun, Azra Krek, Paul Zumbo, Christopher E Mason, Nicholas D Socci, Doron Betel |
| Abstract |
A large number of computational methods have been developed for analyzing differential gene expression in RNA-seq data. We describe a comprehensive evaluation of common methods using the SEQC benchmark dataset and ENCODE data. We consider a number of key features, including normalization, accuracy of differential expression detection and differential expression analysis when one condition has no detectable expression. We find significant differences among the methods, but note that array-based methods adapted to RNA-seq data perform comparably to methods designed for RNA-seq. Our results demonstrate that increasing the number of replicate samples significantly improves detection power over increased sequencing depth. |
X Demographics
The data shown below were collected from the profiles of 90 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 | 27 | 30% |
| United Kingdom | 12 | 13% |
| Canada | 6 | 7% |
| Australia | 4 | 4% |
| France | 3 | 3% |
| Germany | 2 | 2% |
| Spain | 2 | 2% |
| Belgium | 2 | 2% |
| Sweden | 1 | 1% |
| Other | 10 | 11% |
| Unknown | 21 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 51 | 57% |
| Members of the public | 34 | 38% |
| Science communicators (journalists, bloggers, editors) | 4 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,460 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 60 | 2% |
| United Kingdom | 30 | 1% |
| Germany | 14 | <1% |
| Brazil | 13 | <1% |
| Spain | 13 | <1% |
| France | 6 | <1% |
| Norway | 5 | <1% |
| Australia | 5 | <1% |
| Mexico | 5 | <1% |
| Other | 60 | 2% |
| Unknown | 2249 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 685 | 28% |
| Researcher | 583 | 24% |
| Student > Master | 297 | 12% |
| Student > Bachelor | 156 | 6% |
| Student > Doctoral Student | 122 | 5% |
| Other | 369 | 15% |
| Unknown | 248 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1217 | 49% |
| Biochemistry, Genetics and Molecular Biology | 467 | 19% |
| Computer Science | 156 | 6% |
| Medicine and Dentistry | 86 | 3% |
| Mathematics | 41 | 2% |
| Other | 185 | 8% |
| Unknown | 308 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 69. 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 04 May 2023.
All research outputs
#627,072
of 26,017,215 outputs
Outputs from Genome Biology
#386
of 4,513 outputs
Outputs of similar age
#4,987
of 214,736 outputs
Outputs of similar age from Genome Biology
#4
of 43 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 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done particularly well, scoring higher than 91% 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 214,736 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 97% of its contemporaries.
We're also able to compare this research output to 43 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 90% of its contemporaries.