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Variable importance in binary regression trees and forests

Overview of attention for article published in The Electronic Journal of Statistics, January 2007
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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 416)
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users
patent
1 patent
q&a
1 Q&A thread

Readers on

mendeley
250 Mendeley
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Article details
Title
Variable importance in binary regression trees and forests
Published in
The Electronic Journal of Statistics, January 2007
DOI 10.1214/07-ejs039
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 2%
France 2 <1%
Vietnam 1 <1%
Singapore 1 <1%
Sweden 1 <1%
Poland 1 <1%
Korea, Republic of 1 <1%
Denmark 1 <1%
Switzerland 1 <1%
Other 1 <1%
Unknown 236 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 62 25%
Researcher 51 20%
Student > Master 27 11%
Student > Doctoral Student 15 6%
Other 14 6%
Other 35 14%
Unknown 46 18%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 28 11%
Computer Science 23 9%
Engineering 23 9%
Medicine and Dentistry 22 9%
Mathematics 22 9%
Other 60 24%
Unknown 72 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 24 November 2020.
All research outputs
#7,302,947
of 34,377,743 outputs
Outputs from The Electronic Journal of Statistics
#41
of 416 outputs
Outputs of similar age
#36,347
of 228,024 outputs
Outputs of similar age from The Electronic Journal of Statistics
#3
of 5 outputs
Altmetric has tracked 34,377,743 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 416 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 89% 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 228,024 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 83% 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 2 of them.