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KRNN: k Rare-class Nearest Neighbour classification

Overview of attention for article published in Pattern Recognition, February 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
96 Mendeley
citeulike
1 CiteULike
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Title
KRNN: k Rare-class Nearest Neighbour classification
Published in
Pattern Recognition, February 2017
DOI 10.1016/j.patcog.2016.08.023
Authors

Xiuzhen Zhang, Yuxuan Li, Ramamohanarao Kotagiri, Lifang Wu, Zahir Tari, Mohamed Cheriet

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 95 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 24%
Student > Ph. D. Student 21 22%
Researcher 7 7%
Lecturer 6 6%
Student > Doctoral Student 5 5%
Other 17 18%
Unknown 17 18%
Readers by discipline Count As %
Computer Science 51 53%
Engineering 13 14%
Mathematics 3 3%
Social Sciences 2 2%
Business, Management and Accounting 1 1%
Other 4 4%
Unknown 22 23%
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 01 December 2021.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Pattern Recognition
#834
of 2,901 outputs
Outputs of similar age
#149,355
of 424,913 outputs
Outputs of similar age from Pattern Recognition
#14
of 33 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,901 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 424,913 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 50% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.