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Are all osteocytes equal? Multiscale modelling of cortical bone to characterise the mechanical stimulation of osteocytes

Overview of attention for article published in International Journal for Numerical Methods in Biomedical Engineering, July 2013
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Title
Are all osteocytes equal? Multiscale modelling of cortical bone to characterise the mechanical stimulation of osteocytes
Published in
International Journal for Numerical Methods in Biomedical Engineering, July 2013
DOI 10.1002/cnm.2578
Pubmed ID
Authors

Ted J. Vaughan, Stefaan W. Verbruggen, Laoise M. McNamara

Abstract

Bone continuously adapts its internal structure to accommodate the functional demands of its mechanical environment. This process is orchestrated by a network of mechanosensitive osteocytes that respond to external mechanical signals and recruit osteoblasts and osteoclasts to alter bone mass to meet loading demands. Because of the irregular hierarchical microarchitecture of bone tissue, the precise mechanical stimuli experienced by osteocytes located in different regions of the tissue is not well-understood. The objective of this study is to characterise the local stimulus experienced by osteocytes distributed throughout the tissue structure. Our models predict that an inhomogeneous microstructural strain field contributes to osteocytes receiving vastly different stimuli at the cellular level, depending on their location within the microstructure. In particular, osteocytes located directly adjacent to micropores experienced strain amplifications in their processes of up to nine times the applied global strain. Furthermore, it was found that the principal orientation of lamellar regions was found to contribute significantly to the magnitude of the stimulus being received at the cellular level. These findings indicate that osteocytes are not equal in terms of the mechanical stimulus being received, and we propose that only a subset of osteocytes may be sufficiently stimulated to function as mechanoreceptors.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
France 1 3%
Switzerland 1 3%
Unknown 34 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 30%
Researcher 7 19%
Student > Master 5 14%
Professor 4 11%
Lecturer 3 8%
Other 4 11%
Unknown 3 8%
Readers by discipline Count As %
Engineering 19 51%
Agricultural and Biological Sciences 5 14%
Biochemistry, Genetics and Molecular Biology 2 5%
Materials Science 2 5%
Medicine and Dentistry 1 3%
Other 3 8%
Unknown 5 14%
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 July 2013.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from International Journal for Numerical Methods in Biomedical Engineering
#262
of 441 outputs
Outputs of similar age
#159,663
of 209,988 outputs
Outputs of similar age from International Journal for Numerical Methods in Biomedical Engineering
#11
of 26 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 441 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.