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Mendeley readers
Attention Score in Context
| Title |
GeneSrF and varSelRF: a web-based tool and R package for gene selection and classification using random forest
|
|---|---|
| Published in |
BMC Bioinformatics, September 2007
|
| DOI | 10.1186/1471-2105-8-328 |
| Pubmed ID | |
| Authors |
Ramón Diaz-Uriarte |
Mendeley readers
The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Spain | 2 | 1% |
| Brazil | 2 | 1% |
| Canada | 2 | 1% |
| United Kingdom | 2 | 1% |
| Korea, Republic of | 1 | <1% |
| Italy | 1 | <1% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 167 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 24% |
| Researcher | 40 | 21% |
| Student > Master | 19 | 10% |
| Other | 10 | 5% |
| Professor | 9 | 5% |
| Other | 30 | 16% |
| Unknown | 34 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 27% |
| Computer Science | 23 | 12% |
| Biochemistry, Genetics and Molecular Biology | 16 | 9% |
| Environmental Science | 12 | 6% |
| Mathematics | 10 | 5% |
| Other | 31 | 16% |
| Unknown | 46 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 23 July 2021.
All research outputs
#3,907,044
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#1,343
of 7,793 outputs
Outputs of similar age
#9,755
of 84,893 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 44 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 82% 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 84,893 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 84% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.