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The CN2 Induction Algorithm

Overview of attention for article published in Machine Learning, March 1989
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

twitter
1 X user
patent
2 patents

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
248 Mendeley
Title
The CN2 Induction Algorithm
Published in
Machine Learning, March 1989
DOI 10.1023/a:1022641700528
Authors

Peter Clark, Tim Niblett

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Germany 4 2%
United Kingdom 2 <1%
Brazil 2 <1%
Switzerland 1 <1%
Italy 1 <1%
France 1 <1%
Cuba 1 <1%
Latvia 1 <1%
Other 9 4%
Unknown 219 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 21%
Researcher 38 15%
Student > Master 33 13%
Student > Bachelor 20 8%
Professor > Associate Professor 14 6%
Other 49 20%
Unknown 42 17%
Readers by discipline Count As %
Computer Science 129 52%
Engineering 30 12%
Agricultural and Biological Sciences 9 4%
Mathematics 5 2%
Social Sciences 5 2%
Other 16 6%
Unknown 54 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 July 2023.
All research outputs
#7,356,343
of 25,374,917 outputs
Outputs from Machine Learning
#269
of 1,225 outputs
Outputs of similar age
#3,728
of 13,583 outputs
Outputs of similar age from Machine Learning
#4
of 4 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,225 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 76% 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 13,583 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
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.