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Random Forests

Overview of attention for article published in Machine Learning, October 2001
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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 (#1 of 1,278)
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
10 news outlets
blogs
7 blogs
policy
13 policy sources
twitter
33 X users
patent
197 patents
facebook
1 Facebook page
wikipedia
18 Wikipedia pages
googleplus
1 Google+ user
q&a
3 Q&A threads

Readers on

mendeley
28409 Mendeley
citeulike
75 CiteULike
connotea
1 Connotea
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Title
Random Forests
Published in
Machine Learning, October 2001
DOI 10.1023/a:1010933404324
Authors

Leo Breiman

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 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 28,409 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 182 <1%
Germany 81 <1%
United Kingdom 77 <1%
Spain 46 <1%
Canada 39 <1%
France 38 <1%
Brazil 34 <1%
Switzerland 33 <1%
Japan 23 <1%
Other 279 <1%
Unknown 27577 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5768 20%
Student > Master 4646 16%
Researcher 3389 12%
Student > Bachelor 2149 8%
Student > Doctoral Student 1368 5%
Other 3429 12%
Unknown 7660 27%
Readers by discipline Count As %
Computer Science 4733 17%
Engineering 3405 12%
Agricultural and Biological Sciences 2407 8%
Environmental Science 1746 6%
Earth and Planetary Sciences 1107 4%
Other 5882 21%
Unknown 9129 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 213. 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 May 2024.
All research outputs
#188,728
of 26,071,599 outputs
Outputs from Machine Learning
#1
of 1,278 outputs
Outputs of similar age
#89
of 45,081 outputs
Outputs of similar age from Machine Learning
#1
of 2 outputs
Altmetric has tracked 26,071,599 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,278 research outputs from this source. They receive a mean Attention Score of 4.3. 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 45,081 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 99% of its contemporaries.
We're also able to compare this research output to 2 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