| Title |
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
|
|---|---|
| Published in |
BMC Bioinformatics, June 2005
|
| DOI | 10.1186/1471-2105-6-148 |
| Pubmed ID | |
| Authors |
Thanyaluk Jirapech-Umpai, Stuart Aitken |
Mendeley readers
The data shown below were compiled from readership statistics for 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| Malaysia | 2 | <1% |
| Australia | 2 | <1% |
| Pakistan | 1 | <1% |
| Italy | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Other | 6 | 3% |
| Unknown | 183 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 25% |
| Student > Master | 30 | 15% |
| Researcher | 28 | 14% |
| Professor > Associate Professor | 16 | 8% |
| Other | 10 | 5% |
| Other | 33 | 16% |
| Unknown | 34 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 75 | 37% |
| Engineering | 29 | 14% |
| Agricultural and Biological Sciences | 18 | 9% |
| Biochemistry, Genetics and Molecular Biology | 15 | 7% |
| Mathematics | 6 | 3% |
| Other | 19 | 9% |
| Unknown | 40 | 20% |
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 28 August 2019.
All research outputs
#8,475,076
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#3,213
of 7,672 outputs
Outputs of similar age
#23,824
of 67,589 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 27 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,672 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 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 67,589 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.