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Tree Induction for Probability-Based Ranking

Overview of attention for article published in Machine Learning, September 2003
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Mentioned by

patent
1 patent

Readers on

mendeley
174 Mendeley
citeulike
5 CiteULike
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Title
Tree Induction for Probability-Based Ranking
Published in
Machine Learning, September 2003
DOI 10.1023/a:1024099825458
Authors

Foster Provost, Pedro Domingos

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
France 3 2%
Chile 2 1%
China 2 1%
Canada 2 1%
Sweden 2 1%
Turkey 1 <1%
Kenya 1 <1%
Malaysia 1 <1%
Other 7 4%
Unknown 148 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 29%
Student > Master 23 13%
Researcher 22 13%
Professor > Associate Professor 12 7%
Student > Bachelor 10 6%
Other 27 16%
Unknown 30 17%
Readers by discipline Count As %
Computer Science 80 46%
Engineering 13 7%
Mathematics 8 5%
Chemistry 5 3%
Environmental Science 5 3%
Other 31 18%
Unknown 32 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 April 2011.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from Machine Learning
#344
of 1,225 outputs
Outputs of similar age
#18,839
of 53,937 outputs
Outputs of similar age from Machine Learning
#3
of 4 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,225 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 56% 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 53,937 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.