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Feature Selection for Multiclass Problems Based on Information Weights

Overview of attention for article published in Procedia Computer Science, January 2011
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1 X user

Readers on

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15 Mendeley
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Article details
Title
Feature Selection for Multiclass Problems Based on Information Weights
Published in
Procedia Computer Science, January 2011
DOI 10.1016/j.procs.2011.08.036
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Colombia 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 5 33%
Student > Master 3 20%
Lecturer > Senior Lecturer 1 7%
Other 1 7%
Lecturer 1 7%
Other 2 13%
Unknown 2 13%
Readers by discipline
Readers by discipline Count As %
Computer Science 5 33%
Engineering 4 27%
Agricultural and Biological Sciences 1 7%
Decision Sciences 1 7%
Medicine and Dentistry 1 7%
Other 1 7%
Unknown 2 13%
Attention Score in Context

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 22 October 2011.
All research outputs
#15,237,301
of 22,655,397 outputs
Outputs from Procedia Computer Science
#1,252
of 2,282 outputs
Outputs of similar age
#140,031
of 180,260 outputs
Outputs of similar age from Procedia Computer Science
#72
of 104 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,282 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 21st percentile – i.e., 21% 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 180,260 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 104 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.