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Detecting fingering of overblown flute sound using sparse feature learning

Overview of attention for article published in EURASIP Journal on Audio, Speech, and Music Processing, January 2016
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About this Attention Score

  • Among the highest-scoring outputs from this source (#34 of 131)
  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
17 Mendeley
Title
Detecting fingering of overblown flute sound using sparse feature learning
Published in
EURASIP Journal on Audio, Speech, and Music Processing, January 2016
DOI 10.1186/s13636-015-0079-0
Authors

Yoonchang Han, Kyogu Lee

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Other 2 12%
Student > Bachelor 2 12%
Lecturer 1 6%
Lecturer > Senior Lecturer 1 6%
Other 3 18%
Unknown 3 18%
Readers by discipline Count As %
Computer Science 6 35%
Arts and Humanities 4 24%
Engineering 4 24%
Agricultural and Biological Sciences 1 6%
Unknown 2 12%
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 04 June 2021.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from EURASIP Journal on Audio, Speech, and Music Processing
#34
of 131 outputs
Outputs of similar age
#130,000
of 403,263 outputs
Outputs of similar age from EURASIP Journal on Audio, Speech, and Music Processing
#2
of 3 outputs
Altmetric has tracked 25,374,647 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 131 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 48th percentile – i.e., 48% 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 403,263 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 53% of its contemporaries.
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.