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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Efficient experimental design and analysis strategies for the detection of differential expression using RNA-Sequencing
|
|---|---|
| Published in |
BMC Genomics, September 2012
|
| DOI | 10.1186/1471-2164-13-484 |
| Pubmed ID | |
| Authors |
José A Robles, Sumaira E Qureshi, Stuart J Stephen, Susan R Wilson, Conrad J Burden, Jennifer M Taylor |
| Abstract |
RNA sequencing (RNA-Seq) has emerged as a powerful approach for the detection of differential gene expression with both high-throughput and high resolution capabilities possible depending upon the experimental design chosen. Multiplex experimental designs are now readily available, these can be utilised to increase the numbers of samples or replicates profiled at the cost of decreased sequencing depth generated per sample. These strategies impact on the power of the approach to accurately identify differential expression. This study presents a detailed analysis of the power to detect differential expression in a range of scenarios including simulated null and differential expression distributions with varying numbers of biological or technical replicates, sequencing depths and analysis methods. |
X Demographics
The data shown below were collected from the profiles of 18 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 | 5 | 28% |
| United Kingdom | 2 | 11% |
| Germany | 1 | 6% |
| Canada | 1 | 6% |
| Sweden | 1 | 6% |
| France | 1 | 6% |
| Montenegro | 1 | 6% |
| Unknown | 6 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 67% |
| Members of the public | 6 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 596 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 18 | 3% |
| Germany | 6 | 1% |
| Brazil | 6 | 1% |
| France | 5 | <1% |
| Spain | 4 | <1% |
| Denmark | 4 | <1% |
| China | 2 | <1% |
| Canada | 2 | <1% |
| Sweden | 2 | <1% |
| Other | 13 | 2% |
| Unknown | 534 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 180 | 30% |
| Researcher | 159 | 27% |
| Student > Master | 63 | 11% |
| Student > Doctoral Student | 36 | 6% |
| Student > Postgraduate | 25 | 4% |
| Other | 78 | 13% |
| Unknown | 55 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 329 | 55% |
| Biochemistry, Genetics and Molecular Biology | 108 | 18% |
| Computer Science | 17 | 3% |
| Mathematics | 15 | 3% |
| Medicine and Dentistry | 12 | 2% |
| Other | 46 | 8% |
| Unknown | 69 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 November 2014.
All research outputs
#1,415,303
of 23,340,595 outputs
Outputs from BMC Genomics
#287
of 10,745 outputs
Outputs of similar age
#8,874
of 171,949 outputs
Outputs of similar age from BMC Genomics
#2
of 116 outputs
Altmetric has tracked 23,340,595 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 10,745 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 97% 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 171,949 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 94% 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.