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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DGEclust: differential expression analysis of clustered count data
|
|---|---|
| Published in |
Genome Biology, February 2015
|
| DOI | 10.1186/s13059-015-0604-6 |
| Pubmed ID | |
| Authors |
Dimitrios V Vavoulis, Margherita Francescatto, Peter Heutink, Julian Gough |
| Abstract |
We present a statistical methodology, DGEclust, for differential expression analysis of digital expression data. Our method treats differential expression as a form of clustering, thus unifying these two concepts. Furthermore, it simultaneously addresses the problem of how many clusters are supported by the data and uncertainty in parameter estimation. DGEclust successfully identifies differentially expressed genes under a number of different scenarios, maintaining a low error rate and an excellent control of its false discovery rate with reasonable computational requirements. It is formulated to perform particularly well on low-replicated data and be applicable to multi-group data. DGEclust is available at http://dvav.github.io/dgeclust/. |
X Demographics
The data shown below were collected from the profiles of 17 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 | 24% |
| United Kingdom | 4 | 24% |
| India | 2 | 12% |
| Sweden | 1 | 6% |
| Norway | 1 | 6% |
| China | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 3 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 47% |
| Scientists | 7 | 41% |
| Science communicators (journalists, bloggers, editors) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Sweden | 2 | 2% |
| Germany | 1 | 1% |
| United Kingdom | 1 | 1% |
| Italy | 1 | 1% |
| Mexico | 1 | 1% |
| Taiwan | 1 | 1% |
| Unknown | 89 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 33% |
| Student > Ph. D. Student | 21 | 21% |
| Student > Master | 10 | 10% |
| Professor | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 16 | 16% |
| Unknown | 6 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 45% |
| Biochemistry, Genetics and Molecular Biology | 21 | 21% |
| Computer Science | 12 | 12% |
| Medicine and Dentistry | 3 | 3% |
| Mathematics | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 12 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 24 November 2017.
All research outputs
#2,589,990
of 25,373,627 outputs
Outputs from Genome Biology
#2,071
of 4,467 outputs
Outputs of similar age
#31,351
of 268,972 outputs
Outputs of similar age from Genome Biology
#42
of 67 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% 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 53% 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 268,972 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.