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A novel silent speech recognition approach based on parallel inception convolutional neural network and Mel frequency spectral coefficient

Overview of attention for article published in Frontiers in Neurorobotics, September 2022
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

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18 Mendeley
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Title
A novel silent speech recognition approach based on parallel inception convolutional neural network and Mel frequency spectral coefficient
Published in
Frontiers in Neurorobotics, September 2022
DOI 10.3389/fnbot.2022.971446
Pubmed ID
Authors

Jinghan Wu, Yakun Zhang, Liang Xie, Ye Yan, Xu Zhang, Shuang Liu, Xingwei An, Erwei Yin, Dong Ming

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 11%
Professor > Associate Professor 1 6%
Other 1 6%
Researcher 1 6%
Unknown 13 72%
Readers by discipline Count As %
Neuroscience 2 11%
Computer Science 1 6%
Medicine and Dentistry 1 6%
Engineering 1 6%
Unknown 13 72%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 September 2022.
All research outputs
#20,675,093
of 23,269,984 outputs
Outputs from Frontiers in Neurorobotics
#715
of 900 outputs
Outputs of similar age
#344,192
of 433,532 outputs
Outputs of similar age from Frontiers in Neurorobotics
#32
of 50 outputs
Altmetric has tracked 23,269,984 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 900 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 1st percentile – i.e., 1% 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 433,532 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.