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Two-layer similarity fusion model for cover song identification

Overview of attention for article published in EURASIP Journal on Audio, Speech, and Music Processing, May 2017
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About this Attention Score

  • Among the highest-scoring outputs from this source (#24 of 131)
  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
3 X users
patent
2 patents

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Two-layer similarity fusion model for cover song identification
Published in
EURASIP Journal on Audio, Speech, and Music Processing, May 2017
DOI 10.1186/s13636-017-0108-2
Authors

Ning Chen, Mingyu Li, Haidong Xiao

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 29%
Student > Bachelor 4 19%
Student > Ph. D. Student 2 10%
Researcher 2 10%
Other 1 5%
Other 1 5%
Unknown 5 24%
Readers by discipline Count As %
Computer Science 9 43%
Engineering 3 14%
Agricultural and Biological Sciences 1 5%
Neuroscience 1 5%
Arts and Humanities 1 5%
Other 0 0%
Unknown 6 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 31 May 2023.
All research outputs
#7,050,597
of 25,382,440 outputs
Outputs from EURASIP Journal on Audio, Speech, and Music Processing
#24
of 131 outputs
Outputs of similar age
#104,130
of 327,324 outputs
Outputs of similar age from EURASIP Journal on Audio, Speech, and Music Processing
#1
of 5 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 131 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 80% 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 327,324 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 67% of its contemporaries.
We're also able to compare this research output to 5 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