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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Impact of RNA-seq attributes on false positive rates in differential expression analysis of de novo assembled transcriptomes
|
|---|---|
| Published in |
BMC Research Notes, December 2013
|
| DOI | 10.1186/1756-0500-6-503 |
| Pubmed ID | |
| Authors |
Emmanuel González, Simon Joly |
| Abstract |
High-throughput RNA sequencing studies are becoming increasingly popular and differential expression studies represent an important downstream analysis that often follow de novo transcriptome assembly. If a lot of attention has been given to bioinformatics tools for differential gene expression, little has yet been given to the impact of the sequence data itself used in pipelines. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 40% |
| India | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Scientists | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 5% |
| United Kingdom | 3 | 4% |
| Germany | 1 | 1% |
| Vietnam | 1 | 1% |
| Spain | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 67 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 21% |
| Researcher | 16 | 21% |
| Student > Master | 14 | 18% |
| Other | 7 | 9% |
| Student > Doctoral Student | 5 | 6% |
| Other | 11 | 14% |
| Unknown | 9 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 65% |
| Biochemistry, Genetics and Molecular Biology | 10 | 13% |
| Computer Science | 3 | 4% |
| Medicine and Dentistry | 2 | 3% |
| Linguistics | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 9 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 13 December 2013.
All research outputs
#6,731,570
of 23,881,329 outputs
Outputs from BMC Research Notes
#1,016
of 4,300 outputs
Outputs of similar age
#77,942
of 312,942 outputs
Outputs of similar age from BMC Research Notes
#23
of 124 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,300 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 76% 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 312,942 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.