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Robust Classification for Imprecise Environments

Overview of attention for article published in Machine Learning, March 2001
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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 (94th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
patent
1 patent
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
877 Dimensions

Readers on

mendeley
478 Mendeley
citeulike
1 CiteULike
Title
Robust Classification for Imprecise Environments
Published in
Machine Learning, March 2001
DOI 10.1023/a:1007601015854
Authors

Foster Provost, Tom Fawcett

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 478 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 19 4%
Spain 5 1%
Canada 5 1%
Germany 4 <1%
Australia 4 <1%
United Kingdom 4 <1%
Turkey 3 <1%
Brazil 3 <1%
Italy 2 <1%
Other 19 4%
Unknown 410 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 127 27%
Researcher 75 16%
Student > Master 58 12%
Student > Bachelor 29 6%
Professor > Associate Professor 25 5%
Other 94 20%
Unknown 70 15%
Readers by discipline Count As %
Computer Science 206 43%
Engineering 58 12%
Agricultural and Biological Sciences 21 4%
Business, Management and Accounting 15 3%
Mathematics 12 3%
Other 74 15%
Unknown 92 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 16 June 2022.
All research outputs
#2,475,323
of 25,373,627 outputs
Outputs from Machine Learning
#60
of 1,225 outputs
Outputs of similar age
#2,220
of 42,453 outputs
Outputs of similar age from Machine Learning
#1
of 3 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,225 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 95% 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 42,453 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them