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Mendeley readers
Attention Score in Context
| Title |
Top scoring pairs for feature selection in machine learning and applications to cancer outcome prediction
|
|---|---|
| Published in |
BMC Bioinformatics, September 2011
|
| DOI | 10.1186/1471-2105-12-375 |
| Pubmed ID | |
| Authors |
Ping Shi, Surajit Ray, Qifu Zhu, Mark A Kon |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Germany | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 127 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 25% |
| Student > Ph. D. Student | 23 | 17% |
| Student > Master | 15 | 11% |
| Other | 9 | 7% |
| Professor | 6 | 5% |
| Other | 16 | 12% |
| Unknown | 30 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 28 | 21% |
| Agricultural and Biological Sciences | 21 | 16% |
| Biochemistry, Genetics and Molecular Biology | 13 | 10% |
| Mathematics | 11 | 8% |
| Medicine and Dentistry | 11 | 8% |
| Other | 14 | 11% |
| Unknown | 34 | 26% |
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 09 March 2023.
All research outputs
#7,874,017
of 23,870,803 outputs
Outputs from BMC Bioinformatics
#3,083
of 7,454 outputs
Outputs of similar age
#45,800
of 132,809 outputs
Outputs of similar age from BMC Bioinformatics
#39
of 85 outputs
Altmetric has tracked 23,870,803 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 7,454 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 132,809 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.