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A decomposition of the outlier detection problem into a set of supervised learning problems

Overview of attention for article published in Machine Learning, June 2015
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
2 X users
patent
13 patents

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
76 Mendeley
Title
A decomposition of the outlier detection problem into a set of supervised learning problems
Published in
Machine Learning, June 2015
DOI 10.1007/s10994-015-5507-y
Authors

Heiko Paulheim, Robert Meusel

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 24%
Student > Ph. D. Student 13 17%
Student > Doctoral Student 8 11%
Researcher 6 8%
Student > Bachelor 4 5%
Other 4 5%
Unknown 23 30%
Readers by discipline Count As %
Computer Science 35 46%
Engineering 4 5%
Economics, Econometrics and Finance 3 4%
Biochemistry, Genetics and Molecular Biology 3 4%
Mathematics 2 3%
Other 5 7%
Unknown 24 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 12 March 2024.
All research outputs
#4,615,712
of 25,059,640 outputs
Outputs from Machine Learning
#122
of 1,167 outputs
Outputs of similar age
#53,002
of 269,930 outputs
Outputs of similar age from Machine Learning
#1
of 12 outputs
Altmetric has tracked 25,059,640 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,167 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 89% 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 269,930 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 80% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.