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Optimal classification trees

Overview of attention for article published in Machine Learning, April 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#41 of 1,266)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
twitter
10 X users
patent
4 patents

Citations

dimensions_citation
402 Dimensions

Readers on

mendeley
384 Mendeley
citeulike
1 CiteULike
Title
Optimal classification trees
Published in
Machine Learning, April 2017
DOI 10.1007/s10994-017-5633-9
Authors

Dimitris Bertsimas, Jack Dunn

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 384 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Belgium 1 <1%
Unknown 382 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 17%
Student > Master 60 16%
Researcher 48 13%
Student > Bachelor 33 9%
Student > Doctoral Student 18 5%
Other 56 15%
Unknown 102 27%
Readers by discipline Count As %
Computer Science 92 24%
Engineering 57 15%
Mathematics 20 5%
Decision Sciences 17 4%
Medicine and Dentistry 16 4%
Other 60 16%
Unknown 122 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 02 January 2024.
All research outputs
#1,959,726
of 26,017,215 outputs
Outputs from Machine Learning
#41
of 1,266 outputs
Outputs of similar age
#36,543
of 327,723 outputs
Outputs of similar age from Machine Learning
#1
of 5 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,266 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 96% 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 327,723 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 88% 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 all of them