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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A scaling normalization method for differential expression analysis of RNA-seq data
|
|---|---|
| Published in |
Genome Biology, March 2010
|
| DOI | 10.1186/gb-2010-11-3-r25 |
| Pubmed ID | |
| Authors |
Mark D Robinson, Alicia Oshlack |
X Demographics
The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 4 | 14% |
| Australia | 3 | 11% |
| United Kingdom | 3 | 11% |
| United States | 2 | 7% |
| Austria | 2 | 7% |
| Switzerland | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 12 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 57% |
| Scientists | 12 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 5,394 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 101 | 2% |
| United Kingdom | 35 | <1% |
| Germany | 32 | <1% |
| Brazil | 16 | <1% |
| France | 15 | <1% |
| Japan | 11 | <1% |
| Netherlands | 10 | <1% |
| Italy | 10 | <1% |
| Spain | 10 | <1% |
| Other | 94 | 2% |
| Unknown | 5060 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1431 | 27% |
| Researcher | 1133 | 21% |
| Student > Master | 623 | 12% |
| Student > Bachelor | 429 | 8% |
| Student > Doctoral Student | 278 | 5% |
| Other | 713 | 13% |
| Unknown | 787 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2150 | 40% |
| Biochemistry, Genetics and Molecular Biology | 1224 | 23% |
| Computer Science | 222 | 4% |
| Medicine and Dentistry | 203 | 4% |
| Mathematics | 121 | 2% |
| Other | 566 | 10% |
| Unknown | 908 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 70. 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 21 November 2023.
All research outputs
#623,589
of 25,837,817 outputs
Outputs from Genome Biology
#381
of 4,513 outputs
Outputs of similar age
#1,688
of 104,778 outputs
Outputs of similar age from Genome Biology
#1
of 25 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done particularly well, scoring higher than 91% 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 104,778 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 97% of its contemporaries.
We're also able to compare this research output to 25 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 96% of its contemporaries.