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Computational Modeling of Fluid–Structure–Acoustics Interaction during Voice Production

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, February 2017
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Title
Computational Modeling of Fluid–Structure–Acoustics Interaction during Voice Production
Published in
Frontiers in Bioengineering and Biotechnology, February 2017
DOI 10.3389/fbioe.2017.00007
Pubmed ID
Authors

Weili Jiang, Xudong Zheng, Qian Xue

Abstract

The paper presented a three-dimensional, first-principle based fluid-structure-acoustics interaction computer model of voice production, which employed a more realistic human laryngeal and vocal tract geometries. Self-sustained vibrations, important convergent-divergent vibration pattern of the vocal folds, and entrainment of the two dominant vibratory modes were captured. Voice quality-associated parameters including the frequency, open quotient, skewness quotient, and flow rate of the glottal flow waveform were found to be well within the normal physiological ranges. The analogy between the vocal tract and a quarter-wave resonator was demonstrated. The acoustic perturbed flux and pressure inside the glottis were found to be at the same order with their incompressible counterparts, suggesting strong source-filter interactions during voice production. Such high fidelity computational model will be useful for investigating a variety of pathological conditions that involve complex vibrations, such as vocal fold paralysis, vocal nodules, and vocal polyps. The model is also an important step toward a patient-specific surgical planning tool that can serve as a no-risk trial and error platform for different procedures, such as injection of biomaterials and thyroplastic medialization.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 39%
Student > Master 4 9%
Student > Bachelor 3 7%
Student > Doctoral Student 2 4%
Researcher 2 4%
Other 7 15%
Unknown 10 22%
Readers by discipline Count As %
Engineering 19 41%
Computer Science 5 11%
Physics and Astronomy 4 9%
Medicine and Dentistry 3 7%
Business, Management and Accounting 2 4%
Other 3 7%
Unknown 10 22%
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 13 February 2017.
All research outputs
#18,531,724
of 22,953,506 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,422
of 6,685 outputs
Outputs of similar age
#315,223
of 426,820 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#12
of 21 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,685 research outputs from this source. They receive a mean Attention Score of 3.4. 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 426,820 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.