↓ Skip to main content

Multiclass audio segmentation based on recurrent neural networks for broadcast domain data

Overview of attention for article published in EURASIP Journal on Audio, Speech, and Music Processing, March 2020
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
40 Mendeley
Title
Multiclass audio segmentation based on recurrent neural networks for broadcast domain data
Published in
EURASIP Journal on Audio, Speech, and Music Processing, March 2020
DOI 10.1186/s13636-020-00172-6
Authors

Pablo Gimeno, Ignacio Viñals, Alfonso Ortega, Antonio Miguel, Eduardo Lleida

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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 15%
Student > Master 6 15%
Researcher 3 8%
Student > Ph. D. Student 3 8%
Professor > Associate Professor 2 5%
Other 3 8%
Unknown 17 43%
Readers by discipline Count As %
Engineering 11 28%
Computer Science 9 23%
Physics and Astronomy 2 5%
Unknown 18 45%
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 06 March 2020.
All research outputs
#14,793,181
of 25,387,668 outputs
Outputs from EURASIP Journal on Audio, Speech, and Music Processing
#72
of 131 outputs
Outputs of similar age
#191,479
of 386,389 outputs
Outputs of similar age from EURASIP Journal on Audio, Speech, and Music Processing
#2
of 2 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% 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 45th percentile – i.e., 45% 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 386,389 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.