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Knowledge acquisition via incremental conceptual clustering

Overview of attention for article published in Machine Learning, September 1987
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

patent
12 patents
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
1385 Dimensions

Readers on

mendeley
191 Mendeley
citeulike
3 CiteULike
Title
Knowledge acquisition via incremental conceptual clustering
Published in
Machine Learning, September 1987
DOI 10.1007/bf00114265
Authors

Douglas H. Fisher

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 5%
Germany 3 2%
Portugal 2 1%
France 2 1%
India 2 1%
Switzerland 1 <1%
Italy 1 <1%
Korea, Republic of 1 <1%
Brazil 1 <1%
Other 10 5%
Unknown 159 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 26%
Student > Master 34 18%
Researcher 20 10%
Student > Bachelor 13 7%
Professor > Associate Professor 13 7%
Other 32 17%
Unknown 30 16%
Readers by discipline Count As %
Computer Science 114 60%
Engineering 13 7%
Mathematics 4 2%
Economics, Econometrics and Finance 4 2%
Social Sciences 3 2%
Other 17 9%
Unknown 36 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 27 May 2022.
All research outputs
#3,272,020
of 22,786,691 outputs
Outputs from Machine Learning
#82
of 961 outputs
Outputs of similar age
#651
of 11,954 outputs
Outputs of similar age from Machine Learning
#1
of 2 outputs
Altmetric has tracked 22,786,691 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 961 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 90% 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 11,954 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 90% 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