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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ReCount: A multi-experiment resource of analysis-ready RNA-seq gene count datasets
|
|---|---|
| Published in |
BMC Bioinformatics, November 2011
|
| DOI | 10.1186/1471-2105-12-449 |
| Pubmed ID | |
| Authors |
Alyssa C Frazee, Ben Langmead, Jeffrey T Leek |
| Abstract |
1 |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | 11% |
| France | 1 | 11% |
| United Kingdom | 1 | 11% |
| Australia | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 67% |
| Members of the public | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 268 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 5% |
| Germany | 2 | <1% |
| France | 2 | <1% |
| Sweden | 2 | <1% |
| United Kingdom | 2 | <1% |
| Italy | 1 | <1% |
| Netherlands | 1 | <1% |
| Canada | 1 | <1% |
| Austria | 1 | <1% |
| Other | 4 | 1% |
| Unknown | 239 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 76 | 28% |
| Researcher | 72 | 27% |
| Student > Master | 23 | 9% |
| Professor > Associate Professor | 16 | 6% |
| Student > Doctoral Student | 16 | 6% |
| Other | 43 | 16% |
| Unknown | 22 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 117 | 44% |
| Biochemistry, Genetics and Molecular Biology | 48 | 18% |
| Computer Science | 21 | 8% |
| Mathematics | 20 | 7% |
| Medicine and Dentistry | 8 | 3% |
| Other | 24 | 9% |
| Unknown | 30 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 08 August 2016.
All research outputs
#5,950,218
of 24,450,293 outputs
Outputs from BMC Bioinformatics
#2,020
of 7,535 outputs
Outputs of similar age
#30,498
of 128,490 outputs
Outputs of similar age from BMC Bioinformatics
#39
of 121 outputs
Altmetric has tracked 24,450,293 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,535 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 73% 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 128,490 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.