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Limits on the majority vote accuracy in classifier fusion

Overview of attention for article published in Pattern Analysis and Applications, April 2003
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About this Attention Score

  • Among the highest-scoring outputs from this source (#50 of 385)

Mentioned by

patent
2 patents

Citations

dimensions_citation
269 Dimensions

Readers on

mendeley
150 Mendeley
citeulike
1 CiteULike
Title
Limits on the majority vote accuracy in classifier fusion
Published in
Pattern Analysis and Applications, April 2003
DOI 10.1007/s10044-002-0173-7
Authors

L.I. Kuncheva, C.J. Whitaker, C.A. Shipp, R.P.W. Duin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 2 1%
Brazil 2 1%
Hungary 1 <1%
Australia 1 <1%
Kenya 1 <1%
Germany 1 <1%
Ireland 1 <1%
Sweden 1 <1%
Other 2 1%
Unknown 135 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 26%
Student > Master 26 17%
Researcher 18 12%
Student > Doctoral Student 13 9%
Professor > Associate Professor 9 6%
Other 28 19%
Unknown 17 11%
Readers by discipline Count As %
Computer Science 85 57%
Engineering 19 13%
Agricultural and Biological Sciences 4 3%
Mathematics 4 3%
Medicine and Dentistry 2 1%
Other 10 7%
Unknown 26 17%
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 24 June 2014.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from Pattern Analysis and Applications
#50
of 385 outputs
Outputs of similar age
#21,986
of 65,610 outputs
Outputs of similar age from Pattern Analysis and Applications
#2
of 3 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 385 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 62% 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 65,610 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.