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Cluster-based instance selection for machine classification

Overview of attention for article published in Knowledge and Information Systems, January 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#30 of 614)
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
34 Mendeley
Title
Cluster-based instance selection for machine classification
Published in
Knowledge and Information Systems, January 2011
DOI 10.1007/s10115-010-0375-z
Authors

Ireneusz Czarnowski

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Student > Master 7 21%
Student > Ph. D. Student 3 9%
Lecturer 2 6%
Student > Doctoral Student 1 3%
Other 3 9%
Unknown 9 26%
Readers by discipline Count As %
Computer Science 14 41%
Engineering 4 12%
Business, Management and Accounting 3 9%
Mathematics 1 3%
Materials Science 1 3%
Other 1 3%
Unknown 10 29%
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 17 May 2022.
All research outputs
#4,983,982
of 23,849,058 outputs
Outputs from Knowledge and Information Systems
#30
of 614 outputs
Outputs of similar age
#33,194
of 187,240 outputs
Outputs of similar age from Knowledge and Information Systems
#1
of 7 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 614 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done particularly well, scoring higher than 91% 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 187,240 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 77% of its contemporaries.
We're also able to compare this research output to 7 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