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A Spiking Neural Network Framework for Robust Sound Classification

Overview of attention for article published in Frontiers in Neuroscience, November 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
3 X users
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
83 Dimensions

Readers on

mendeley
111 Mendeley
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Title
A Spiking Neural Network Framework for Robust Sound Classification
Published in
Frontiers in Neuroscience, November 2018
DOI 10.3389/fnins.2018.00836
Pubmed ID
Authors

Jibin Wu, Yansong Chua, Malu Zhang, Haizhou Li, Kay Chen Tan

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 20%
Student > Master 21 19%
Researcher 12 11%
Student > Bachelor 7 6%
Student > Doctoral Student 4 4%
Other 13 12%
Unknown 32 29%
Readers by discipline Count As %
Computer Science 33 30%
Engineering 29 26%
Neuroscience 7 6%
Agricultural and Biological Sciences 3 3%
Psychology 2 2%
Other 3 3%
Unknown 34 31%
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 16 April 2024.
All research outputs
#7,379,707
of 26,316,370 outputs
Outputs from Frontiers in Neuroscience
#4,710
of 11,803 outputs
Outputs of similar age
#137,488
of 451,692 outputs
Outputs of similar age from Frontiers in Neuroscience
#85
of 267 outputs
Altmetric has tracked 26,316,370 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 11,803 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has gotten more attention than average, scoring higher than 59% 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 451,692 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 69% of its contemporaries.
We're also able to compare this research output to 267 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 67% of its contemporaries.