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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Differential expression analysis for paired RNA-seq data
|
|---|---|
| Published in |
BMC Bioinformatics, March 2013
|
| DOI | 10.1186/1471-2105-14-110 |
| Pubmed ID | |
| Authors |
Lisa M Chung, John P Ferguson, Wei Zheng, Feng Qian, Vincent Bruno, Ruth R Montgomery, Hongyu Zhao |
| Abstract |
RNA-Seq technology measures the transcript abundance by generating sequence reads and counting their frequencies across different biological conditions. To identify differentially expressed genes between two conditions, it is important to consider the experimental design as well as the distributional property of the data. In many RNA-Seq studies, the expression data are obtained as multiple pairs, e.g., pre- vs. post-treatment samples from the same individual. We seek to incorporate paired structure into analysis. |
X Demographics
The data shown below were collected from the profiles of 14 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 | 3 | 21% |
| France | 3 | 21% |
| United Kingdom | 1 | 7% |
| Unknown | 7 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 64% |
| Members of the public | 4 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 6% |
| United Kingdom | 5 | 3% |
| France | 4 | 2% |
| Germany | 2 | 1% |
| Sweden | 2 | 1% |
| Brazil | 2 | 1% |
| Mexico | 2 | 1% |
| Denmark | 2 | 1% |
| Taiwan | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 147 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 62 | 34% |
| Student > Ph. D. Student | 41 | 23% |
| Other | 11 | 6% |
| Student > Master | 11 | 6% |
| Professor > Associate Professor | 10 | 6% |
| Other | 31 | 17% |
| Unknown | 14 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 89 | 49% |
| Biochemistry, Genetics and Molecular Biology | 27 | 15% |
| Computer Science | 15 | 8% |
| Medicine and Dentistry | 8 | 4% |
| Engineering | 5 | 3% |
| Other | 17 | 9% |
| Unknown | 19 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 14 November 2013.
All research outputs
#1,949,828
of 22,703,044 outputs
Outputs from BMC Bioinformatics
#497
of 7,254 outputs
Outputs of similar age
#16,869
of 197,838 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 145 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 93% 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 197,838 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 91% of its contemporaries.
We're also able to compare this research output to 145 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 91% of its contemporaries.