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Mendeley readers
Attention Score in Context
| Title |
GeneTools – application for functional annotation and statistical hypothesis testing
|
|---|---|
| Published in |
BMC Bioinformatics, October 2006
|
| DOI | 10.1186/1471-2105-7-470 |
| Pubmed ID | |
| Authors |
Vidar Beisvag, Frode KR Jünge, Hallgeir Bergum, Lars Jølsum, Stian Lydersen, Clara-Cecilie Günther, Heri Ramampiaro, Mette Langaas, Arne K Sandvik, Astrid Lægreid |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 3% |
| Portugal | 2 | 2% |
| Netherlands | 1 | 1% |
| Australia | 1 | 1% |
| France | 1 | 1% |
| Sweden | 1 | 1% |
| China | 1 | 1% |
| Russia | 1 | 1% |
| Spain | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 84 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 39 | 40% |
| Student > Ph. D. Student | 16 | 16% |
| Professor > Associate Professor | 12 | 12% |
| Other | 6 | 6% |
| Professor | 5 | 5% |
| Other | 14 | 14% |
| Unknown | 5 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 56 | 58% |
| Biochemistry, Genetics and Molecular Biology | 10 | 10% |
| Computer Science | 10 | 10% |
| Medicine and Dentistry | 7 | 7% |
| Business, Management and Accounting | 2 | 2% |
| Other | 6 | 6% |
| Unknown | 6 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 29 August 2013.
All research outputs
#7,553,524
of 23,041,514 outputs
Outputs from BMC Bioinformatics
#3,041
of 7,318 outputs
Outputs of similar age
#23,924
of 68,743 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 48 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,318 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 68,743 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.