↓ Skip to main content

Inverse random under sampling for class imbalance problem and its application to multi-label classification

Overview of attention for article published in Pattern Recognition, October 2012
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
1 X user
q&a
1 Q&A thread

Readers on

mendeley
236 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Inverse random under sampling for class imbalance problem and its application to multi-label classification
Published in
Pattern Recognition, October 2012
DOI 10.1016/j.patcog.2012.03.014
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
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 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Colombia 2 <1%
Croatia 1 <1%
Unknown 233 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 33 14%
Student > Master 30 13%
Researcher 21 9%
Student > Bachelor 12 5%
Student > Postgraduate 8 3%
Other 24 10%
Unknown 108 46%
Readers by discipline
Readers by discipline Count As %
Computer Science 76 32%
Engineering 17 7%
Business, Management and Accounting 2 <1%
Agricultural and Biological Sciences 2 <1%
Earth and Planetary Sciences 2 <1%
Other 12 5%
Unknown 125 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 2020.
All research outputs
#9,364,071
of 29,200,632 outputs
Outputs from Pattern Recognition
#912
of 3,163 outputs
Outputs of similar age
#66,297
of 200,790 outputs
Outputs of similar age from Pattern Recognition
#8
of 26 outputs
Altmetric has tracked 29,200,632 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,163 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 70% 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 200,790 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.