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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Supervised redundant feature detection for tumor classification
|
|---|---|
| Published in |
BMC Medical Genomics, October 2014
|
| DOI | 10.1186/1755-8794-7-s2-s5 |
| Pubmed ID | |
| Authors |
Xue-Qiang Zeng, Guo-Zheng Li |
| Abstract |
As a high dimensional problem, analysis of microarray data sets is a challenging task, where many weakly relevant or redundant features affect overall performance of classifiers. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 20% |
| Student > Doctoral Student | 2 | 20% |
| Lecturer | 1 | 10% |
| Student > Bachelor | 1 | 10% |
| Professor > Associate Professor | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 3 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 50% |
| Agricultural and Biological Sciences | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Unknown | 3 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 July 2015.
All research outputs
#20,241,019
of 22,768,097 outputs
Outputs from BMC Medical Genomics
#1,001
of 1,222 outputs
Outputs of similar age
#217,074
of 260,342 outputs
Outputs of similar age from BMC Medical Genomics
#14
of 14 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,222 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 260,342 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.