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Conditional validity of inductive conformal predictors

Overview of attention for article published in Machine Learning, May 2013
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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 (76th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

policy
1 policy source
patent
1 patent

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
62 Mendeley
Title
Conditional validity of inductive conformal predictors
Published in
Machine Learning, May 2013
DOI 10.1007/s10994-013-5355-6
Authors

Vladimir Vovk

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 2%
Australia 1 2%
Sweden 1 2%
United Kingdom 1 2%
Russia 1 2%
Unknown 57 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 37%
Student > Master 9 15%
Student > Bachelor 5 8%
Student > Doctoral Student 4 6%
Researcher 4 6%
Other 8 13%
Unknown 9 15%
Readers by discipline Count As %
Computer Science 18 29%
Mathematics 15 24%
Engineering 7 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Arts and Humanities 2 3%
Other 8 13%
Unknown 10 16%
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 05 March 2024.
All research outputs
#5,484,586
of 25,508,813 outputs
Outputs from Machine Learning
#163
of 1,237 outputs
Outputs of similar age
#44,441
of 205,724 outputs
Outputs of similar age from Machine Learning
#5
of 20 outputs
Altmetric has tracked 25,508,813 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,237 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 83% 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 205,724 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 76% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.