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Instance-based learning algorithms

Overview of attention for article published in Machine Learning, January 1991
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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 (85th percentile)

Mentioned by

patent
47 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
3570 Dimensions

Readers on

mendeley
953 Mendeley
citeulike
4 CiteULike
Title
Instance-based learning algorithms
Published in
Machine Learning, January 1991
DOI 10.1007/bf00153759
Authors

David W. Aha, Dennis Kibler, Marc K. Albert

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 953 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 2%
Germany 9 <1%
Brazil 9 <1%
Spain 5 <1%
Switzerland 4 <1%
United Kingdom 4 <1%
Australia 2 <1%
India 2 <1%
Belgium 2 <1%
Other 23 2%
Unknown 878 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 128 13%
Student > Master 103 11%
Researcher 84 9%
Student > Doctoral Student 33 3%
Student > Bachelor 28 3%
Other 104 11%
Unknown 473 50%
Readers by discipline Count As %
Computer Science 259 27%
Engineering 81 8%
Agricultural and Biological Sciences 18 2%
Business, Management and Accounting 12 1%
Mathematics 12 1%
Other 68 7%
Unknown 503 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 06 January 2024.
All research outputs
#5,559,757
of 25,837,817 outputs
Outputs from Machine Learning
#164
of 1,259 outputs
Outputs of similar age
#4,542
of 60,083 outputs
Outputs of similar age from Machine Learning
#1
of 2 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,259 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 83% 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 60,083 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% 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