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Extremely randomized trees

Overview of attention for article published in Machine Learning, March 2006
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 421)
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

news
1 news outlet
twitter
28 tweeters
patent
3 patents
wikipedia
1 Wikipedia page
googleplus
3 Google+ users
q&a
2 Q&A threads

Citations

dimensions_citation
1122 Dimensions

Readers on

mendeley
1047 Mendeley
citeulike
5 CiteULike
Title
Extremely randomized trees
Published in
Machine Learning, March 2006
DOI 10.1007/s10994-006-6226-1
Authors

Pierre Geurts, Damien Ernst, Louis Wehenkel

Twitter Demographics

The data shown below were collected from the profiles of 28 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1,047 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 18 2%
United Kingdom 12 1%
Germany 7 <1%
Switzerland 7 <1%
France 6 <1%
Brazil 6 <1%
Canada 5 <1%
Belgium 5 <1%
Spain 4 <1%
Other 33 3%
Unknown 944 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 305 29%
Student > Master 220 21%
Researcher 163 16%
Student > Bachelor 105 10%
Student > Doctoral Student 57 5%
Other 197 19%
Readers by discipline Count As %
Computer Science 501 48%
Engineering 146 14%
Unspecified 98 9%
Mathematics 48 5%
Agricultural and Biological Sciences 45 4%
Other 209 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 10 July 2019.
All research outputs
#359,659
of 13,237,910 outputs
Outputs from Machine Learning
#2
of 421 outputs
Outputs of similar age
#1,904
of 86,149 outputs
Outputs of similar age from Machine Learning
#1
of 3 outputs
Altmetric has tracked 13,237,910 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 421 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 99% 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 86,149 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 97% 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