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Random KNN feature selection - a fast and stable alternative to Random Forests

Overview of attention for article published in BMC Bioinformatics, November 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
165 Mendeley
citeulike
6 CiteULike
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Title
Random KNN feature selection - a fast and stable alternative to Random Forests
Published in
BMC Bioinformatics, November 2011
DOI 10.1186/1471-2105-12-450
Pubmed ID
Authors

Shengqiao Li, E James Harner, Donald A Adjeroh

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Germany 2 1%
Malaysia 1 <1%
Portugal 1 <1%
Austria 1 <1%
Kenya 1 <1%
Finland 1 <1%
France 1 <1%
United Kingdom 1 <1%
Other 3 2%
Unknown 150 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 25%
Researcher 39 24%
Student > Master 25 15%
Student > Bachelor 8 5%
Student > Doctoral Student 8 5%
Other 24 15%
Unknown 19 12%
Readers by discipline Count As %
Computer Science 49 30%
Agricultural and Biological Sciences 31 19%
Engineering 17 10%
Environmental Science 9 5%
Neuroscience 8 5%
Other 27 16%
Unknown 24 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 07 July 2022.
All research outputs
#2,939,412
of 22,805,349 outputs
Outputs from BMC Bioinformatics
#1,040
of 7,281 outputs
Outputs of similar age
#23,279
of 238,821 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 115 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,281 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 done well, scoring higher than 85% 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 238,821 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 89% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.