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Mathematically modeling fluid flow and fluid shear stress in the canaliculi of a loaded osteon

Overview of attention for article published in BioMedical Engineering OnLine, December 2016
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Title
Mathematically modeling fluid flow and fluid shear stress in the canaliculi of a loaded osteon
Published in
BioMedical Engineering OnLine, December 2016
DOI 10.1186/s12938-016-0267-x
Pubmed ID
Authors

Xiaogang Wu, Ningning Wang, Zhaowei Wang, Weilun Yu, Yanqin Wang, Yuan Guo, Weiyi Chen

Abstract

Mechanical load-induced intraosseous pressure gradients may result in some fluid stimuli effects, such as fluid flow and fluid shear stress (FSS), which may enable bone cells to detect external mechanical signals. Interstitial bone fluid flow is known to occur in lacunar-canalicular porosity (PLC). In order to characterize lacunar-canalicular fluid flow behavior, a hierarchical osteon system is developed. The osteon is modeled as a poroelastic annular cylinder with two types of impermeable boundary cases considered on its outer wall: one is elastic restrained (Case I), whereas the other is displacement confined (Case II). Analytical solutions such as canalicular fluid velocity, pressure, fluid flow rate (FFR), and shear stress are obtained. Results show that the amplitudes of FFR and FSS are proportional to strain amplitude and frequency. However, the key loading factor governing canalicular fluid flow behavior is the strain rate. The larger canalicular radius is, the larger amplitudes of FFR and FSS generalized, especially, the FSS amplitude is proportional to canalicular radius. In addition, both FFR and FSS amplitudes produced in case II are larger than those of case I. Strain rate can be acted as a representative loading parameter governing the canalicular fluid flow behavior under a physiological state. This model can facilitate better understanding the load induced the fluid permeation in the PLC. The approach can also be used to analyze the structure of the proteoglycan matrix in the fluid space surrounding the osteocytic process in the canaliculus.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 18%
Student > Ph. D. Student 5 15%
Student > Master 4 12%
Professor 3 9%
Student > Doctoral Student 2 6%
Other 5 15%
Unknown 9 26%
Readers by discipline Count As %
Engineering 11 32%
Medicine and Dentistry 3 9%
Psychology 2 6%
Agricultural and Biological Sciences 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 5 15%
Unknown 11 32%
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 10 April 2017.
All research outputs
#20,418,183
of 22,968,808 outputs
Outputs from BioMedical Engineering OnLine
#692
of 824 outputs
Outputs of similar age
#356,269
of 421,665 outputs
Outputs of similar age from BioMedical Engineering OnLine
#16
of 18 outputs
Altmetric has tracked 22,968,808 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 824 research outputs from this source. They receive a mean Attention Score of 4.6. 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 18 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.