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X Demographics
Mendeley readers
Attention Score in Context
| Title |
From RNA-seq reads to differential expression results
|
|---|---|
| Published in |
Genome Biology, December 2010
|
| DOI | 10.1186/gb-2010-11-12-220 |
| Pubmed ID | |
| Authors |
Alicia Oshlack, Mark D Robinson, Matthew D Young |
| Abstract |
Many methods and tools are available for preprocessing high-throughput RNA sequencing data and detecting differential expression. |
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 | 10 | 38% |
| United Kingdom | 4 | 15% |
| Australia | 2 | 8% |
| India | 2 | 8% |
| Hong Kong | 1 | 4% |
| Ireland | 1 | 4% |
| Switzerland | 1 | 4% |
| Japan | 1 | 4% |
| Unknown | 4 | 15% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 62% |
| Members of the public | 7 | 27% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,645 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 78 | 3% |
| United Kingdom | 25 | <1% |
| Brazil | 23 | <1% |
| Germany | 22 | <1% |
| France | 13 | <1% |
| Spain | 11 | <1% |
| Sweden | 11 | <1% |
| Australia | 8 | <1% |
| Mexico | 7 | <1% |
| Other | 89 | 3% |
| Unknown | 2358 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 715 | 27% |
| Researcher | 631 | 24% |
| Student > Master | 340 | 13% |
| Student > Bachelor | 190 | 7% |
| Student > Doctoral Student | 134 | 5% |
| Other | 415 | 16% |
| Unknown | 220 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1512 | 57% |
| Biochemistry, Genetics and Molecular Biology | 415 | 16% |
| Computer Science | 129 | 5% |
| Medicine and Dentistry | 90 | 3% |
| Mathematics | 42 | 2% |
| Other | 190 | 7% |
| Unknown | 267 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 November 2023.
All research outputs
#1,380,001
of 25,837,817 outputs
Outputs from Genome Biology
#1,074
of 4,506 outputs
Outputs of similar age
#6,828
of 196,329 outputs
Outputs of similar age from Genome Biology
#3
of 26 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 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 196,329 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 95% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.