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X Demographics
Mendeley readers
Attention Score in Context
Title |
Erratum to: Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data
|
---|---|
Published in |
Genome Biology, November 2015
|
DOI | 10.1186/s13059-015-0813-z |
Pubmed ID | |
Authors |
Franck Rapaport, Raya Khanin, Yupu Liang, Mono Pirun, Azra Krek, Paul Zumbo, Christopher E. Mason, Nicholas D. Socci, Doron Betel |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 1 | 25% |
United States | 1 | 25% |
France | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 75% |
Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 5% |
Brazil | 1 | 5% |
Unknown | 20 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 27% |
Student > Ph. D. Student | 5 | 23% |
Student > Master | 4 | 18% |
Student > Doctoral Student | 1 | 5% |
Unspecified | 1 | 5% |
Other | 0 | 0% |
Unknown | 5 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 8 | 36% |
Agricultural and Biological Sciences | 5 | 23% |
Unspecified | 1 | 5% |
Philosophy | 1 | 5% |
Immunology and Microbiology | 1 | 5% |
Other | 1 | 5% |
Unknown | 5 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 25 November 2015.
All research outputs
#16,047,334
of 25,373,627 outputs
Outputs from Genome Biology
#4,001
of 4,467 outputs
Outputs of similar age
#214,435
of 393,282 outputs
Outputs of similar age from Genome Biology
#67
of 72 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
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 is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 393,282 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.