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A Hybrid Machine-Learning-Based Method for Analytic Representation of the Vocal Fold Edges during Connected Speech

Overview of attention for article published in Applied Sciences, January 2021
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  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
19 Mendeley
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Article details
Title
A Hybrid Machine-Learning-Based Method for Analytic Representation of the Vocal Fold Edges during Connected Speech
Published in
Applied Sciences, January 2021
DOI 10.3390/app11031179
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 profiles of 4 X users 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 19 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 19 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 3 16%
Other 2 11%
Student > Ph. D. Student 2 11%
Researcher 2 11%
Lecturer > Senior Lecturer 1 5%
Other 3 16%
Unknown 6 32%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 2 11%
Engineering 2 11%
Arts and Humanities 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Nursing and Health Professions 1 5%
Other 4 21%
Unknown 8 42%
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 28 March 2023.
All research outputs
#15,226,415
of 25,584,565 outputs
Outputs from Applied Sciences
#2,855
of 14,984 outputs
Outputs of similar age
#269,049
of 531,636 outputs
Outputs of similar age from Applied Sciences
#206
of 1,034 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,984 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 80% 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 531,636 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,034 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.