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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Differential meta-analysis of RNA-seq data from multiple studies
|
|---|---|
| Published in |
BMC Bioinformatics, March 2014
|
| DOI | 10.1186/1471-2105-15-91 |
| Pubmed ID | |
| Authors |
Andrea Rau, Guillemette Marot, Florence Jaffrézic |
| Abstract |
High-throughput sequencing is now regularly used for studies of the transcriptome (RNA-seq), particularly for comparisons among experimental conditions. For the time being, a limited number of biological replicates are typically considered in such experiments, leading to low detection power for differential expression. As their cost continues to decrease, it is likely that additional follow-up studies will be conducted to re-address the same biological question. |
X Demographics
The data shown below were collected from the profiles of 26 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 | 12% |
| Germany | 2 | 8% |
| Australia | 2 | 8% |
| United Kingdom | 2 | 8% |
| France | 2 | 8% |
| India | 2 | 8% |
| Sweden | 1 | 4% |
| Montenegro | 1 | 4% |
| Belgium | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 62% |
| Members of the public | 10 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 324 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| United Kingdom | 3 | <1% |
| Germany | 2 | <1% |
| France | 2 | <1% |
| Ireland | 1 | <1% |
| Italy | 1 | <1% |
| Switzerland | 1 | <1% |
| Netherlands | 1 | <1% |
| Finland | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 307 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 90 | 28% |
| Researcher | 89 | 27% |
| Student > Master | 42 | 13% |
| Student > Bachelor | 19 | 6% |
| Student > Doctoral Student | 15 | 5% |
| Other | 36 | 11% |
| Unknown | 33 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 125 | 39% |
| Biochemistry, Genetics and Molecular Biology | 84 | 26% |
| Computer Science | 17 | 5% |
| Medicine and Dentistry | 15 | 5% |
| Neuroscience | 11 | 3% |
| Other | 27 | 8% |
| Unknown | 45 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 07 September 2023.
All research outputs
#1,526,714
of 25,736,439 outputs
Outputs from BMC Bioinformatics
#208
of 7,739 outputs
Outputs of similar age
#14,828
of 239,433 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 99 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,739 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 239,433 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 93% of its contemporaries.
We're also able to compare this research output to 99 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 95% of its contemporaries.