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Multimodal Sensor-Input Architecture with Deep Learning for Audio-Visual Speech Recognition in Wild

Overview of attention for article published in Sensors, February 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Readers on

mendeley
22 Mendeley
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Article details
Title
Multimodal Sensor-Input Architecture with Deep Learning for Audio-Visual Speech Recognition in Wild
Published in
Sensors, February 2023
DOI 10.3390/s23041834
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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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.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 3 14%
Unspecified 1 5%
Lecturer > Senior Lecturer 1 5%
Student > Doctoral Student 1 5%
Student > Ph. D. Student 1 5%
Other 2 9%
Unknown 13 59%
Readers by discipline
Readers by discipline Count As %
Computer Science 5 23%
Unspecified 1 5%
Economics, Econometrics and Finance 1 5%
Unknown 15 68%
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 30 August 2024.
All research outputs
#23,937,042
of 29,171,278 outputs
Outputs from Sensors
#17,579
of 31,301 outputs
Outputs of similar age
#379,181
of 504,982 outputs
Outputs of similar age from Sensors
#735
of 1,686 outputs
Altmetric has tracked 29,171,278 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,301 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 30th percentile – i.e., 30% 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 504,982 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,686 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.