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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transport and Mixing Induced by Beating Cilia in Human Airways
|
|---|---|
| Published in |
Frontiers in Physiology, March 2018
|
| DOI | 10.3389/fphys.2018.00161 |
| Pubmed ID | |
| Authors |
Sylvain Chateau, Umberto D'Ortona, Sébastien Poncet, Julien Favier |
| Abstract |
The fluid transport and mixing induced by beating cilia, present in the bronchial airways, are studied using a coupled lattice Boltzmann-Immersed Boundary solver. This solver allows the simulation of both single and multi-component fluid flows around moving solid boundaries. The cilia are modeled by a set of Lagrangian points, and Immersed Boundary forces are computed onto these points in order to ensure the no-slip velocity conditions between the cilia and the fluids. The cilia are immersed in a two-layer environment: the periciliary layer (PCL) and the mucus above it. The motion of the cilia is prescribed, as well as the phase lag between two cilia in order to obtain a typical collective motion of cilia, known as metachronal waves. The results obtained from a parametric study show that antiplectic metachronal waves are the most efficient regarding the fluid transport. A specific value of phase lag, which generates the larger mucus transport, is identified. The mixing is studied using several populations of tracers initially seeded into the pericilary liquid, in the mucus just above the PCL-mucus interface, and in the mucus far away from the interface. We observe that each zone exhibits different chaotic mixing properties. The larger mixing is obtained in the PCL layer where only a few beating cycles of the cilia are required to obtain a full mixing, while above the interface, the mixing is weaker and takes more time. Almost no mixing is observed within the mucus, and almost all the tracers do not penetrate the PCL layer. Lyapunov exponents are also computed for specific locations to assess how the mixing is performed locally. Two time scales are introduced to allow a comparison between mixing induced by fluid advection and by molecular diffusion. These results are relevant in the context of respiratory flows to investigate the transport of drugs for patients suffering from chronic respiratory diseases. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 42% |
| Student > Master | 6 | 16% |
| Other | 4 | 11% |
| Researcher | 2 | 5% |
| Student > Bachelor | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 6 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 12 | 32% |
| Physics and Astronomy | 7 | 18% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Agricultural and Biological Sciences | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 8 | 21% |
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 08 March 2018.
All research outputs
#20,468,008
of 23,026,672 outputs
Outputs from Frontiers in Physiology
#9,488
of 13,773 outputs
Outputs of similar age
#293,401
of 331,979 outputs
Outputs of similar age from Frontiers in Physiology
#284
of 395 outputs
Altmetric has tracked 23,026,672 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 13,773 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 395 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.