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Cough Recognition Based on Mel-Spectrogram and Convolutional Neural Network

Overview of attention for article published in Frontiers in Robotics and AI, May 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Readers on

mendeley
80 Mendeley
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Title
Cough Recognition Based on Mel-Spectrogram and Convolutional Neural Network
Published in
Frontiers in Robotics and AI, May 2021
DOI 10.3389/frobt.2021.580080
Pubmed ID
Authors

Quan Zhou, Jianhua Shan, Wenlong Ding, Chengyin Wang, Shi Yuan, Fuchun Sun, Haiyuan Li, Bin Fang

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 14%
Student > Master 6 8%
Lecturer 4 5%
Student > Doctoral Student 3 4%
Unspecified 3 4%
Other 8 10%
Unknown 45 56%
Readers by discipline Count As %
Engineering 12 15%
Computer Science 8 10%
Unspecified 3 4%
Medicine and Dentistry 3 4%
Agricultural and Biological Sciences 2 3%
Other 5 6%
Unknown 47 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 May 2021.
All research outputs
#15,154,377
of 23,308,124 outputs
Outputs from Frontiers in Robotics and AI
#918
of 1,540 outputs
Outputs of similar age
#243,949
of 439,746 outputs
Outputs of similar age from Frontiers in Robotics and AI
#81
of 140 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,540 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 31st percentile – i.e., 31% 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 439,746 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.