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Multiclass MTS for Simultaneous Feature Selection and Classification

Overview of attention for article published in IEEE Transactions on Knowledge and Data Engineering, July 2008
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
30 Mendeley
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Article details
Title
Multiclass MTS for Simultaneous Feature Selection and Classification
Published in
IEEE Transactions on Knowledge and Data Engineering, July 2008
DOI 10.1109/tkde.2008.128
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 3%
Malaysia 1 3%
Canada 1 3%
Bangladesh 1 3%
Unknown 26 87%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 11 37%
Student > Bachelor 3 10%
Lecturer 2 7%
Student > Doctoral Student 2 7%
Professor 2 7%
Other 5 17%
Unknown 5 17%
Readers by discipline
Readers by discipline Count As %
Engineering 10 33%
Computer Science 9 30%
Business, Management and Accounting 2 7%
Mathematics 1 3%
Nursing and Health Professions 1 3%
Other 2 7%
Unknown 5 17%
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 03 June 2014.
All research outputs
#6,780,480
of 31,591,940 outputs
Outputs from IEEE Transactions on Knowledge and Data Engineering
#306
of 2,883 outputs
Outputs of similar age
#24,998
of 121,760 outputs
Outputs of similar age from IEEE Transactions on Knowledge and Data Engineering
#5
of 35 outputs
Altmetric has tracked 31,591,940 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,883 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 79% 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 121,760 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 68% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.