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Learning from noisy examples

Overview of attention for article published in Machine Learning, April 1988
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

patent
5 patents
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
465 Dimensions

Readers on

mendeley
44 Mendeley
citeulike
1 CiteULike
Title
Learning from noisy examples
Published in
Machine Learning, April 1988
DOI 10.1007/bf00116829
Authors

Dana Angluin, Philip Laird

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 2%
United Kingdom 1 2%
Japan 1 2%
United States 1 2%
Croatia 1 2%
Unknown 39 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 27%
Researcher 6 14%
Professor 5 11%
Student > Doctoral Student 4 9%
Student > Bachelor 4 9%
Other 8 18%
Unknown 5 11%
Readers by discipline Count As %
Computer Science 29 66%
Engineering 4 9%
Mathematics 1 2%
Medicine and Dentistry 1 2%
Design 1 2%
Other 0 0%
Unknown 8 18%
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 25 June 2023.
All research outputs
#4,906,861
of 23,578,918 outputs
Outputs from Machine Learning
#134
of 1,013 outputs
Outputs of similar age
#1,562
of 13,352 outputs
Outputs of similar age from Machine Learning
#3
of 3 outputs
Altmetric has tracked 23,578,918 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 1,013 research outputs from this source. They receive a mean Attention Score of 4.4. 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 13,352 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 74% 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.