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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Erratum to: An iteration normalization and test method for differential expression analysis of RNA-seq data
|
|---|---|
| Published in |
BioData Mining, December 2014
|
| DOI | 10.1186/s13040-014-0030-4 |
| Pubmed ID | |
| Authors |
Yan Zhou, Nan Lin, Baoxue Zhang |
| Abstract |
[This corrects the article DOI: 10.1186/1756-0381-7-15.]. |
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 % |
|---|---|---|
| Switzerland | 1 | 25% |
| France | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 50% |
| Researcher | 1 | 17% |
| Student > Postgraduate | 1 | 17% |
| Student > Master | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 33% |
| Computer Science | 2 | 33% |
| Agricultural and Biological Sciences | 2 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 28 January 2015.
All research outputs
#2,378,386
of 24,875,286 outputs
Outputs from BioData Mining
#42
of 320 outputs
Outputs of similar age
#32,317
of 368,050 outputs
Outputs of similar age from BioData Mining
#3
of 12 outputs
Altmetric has tracked 24,875,286 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 320 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 87% 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 368,050 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 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.