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Principle Components and Importance Ranking of Distributed Anomalies

Overview of attention for article published in Machine Learning, February 2005
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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 (81st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
14 Mendeley
Title
Principle Components and Importance Ranking of Distributed Anomalies
Published in
Machine Learning, February 2005
DOI 10.1007/s10994-005-5827-4
Authors

Kyrre Begnum, Mark Burgess

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 7%
Sri Lanka 1 7%
Unknown 12 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Researcher 3 21%
Student > Doctoral Student 2 14%
Student > Master 2 14%
Student > Bachelor 1 7%
Other 1 7%
Unknown 1 7%
Readers by discipline Count As %
Computer Science 9 64%
Mathematics 1 7%
Earth and Planetary Sciences 1 7%
Unknown 3 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 06 September 2017.
All research outputs
#4,750,902
of 23,001,641 outputs
Outputs from Machine Learning
#132
of 972 outputs
Outputs of similar age
#17,106
of 141,949 outputs
Outputs of similar age from Machine Learning
#2
of 5 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 972 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 82% 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 141,949 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 81% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.