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Using smooth particle hydrodynamics to investigate femoral cortical bone remodelling at the Haversian level

Overview of attention for article published in International Journal for Numerical Methods in Biomedical Engineering, July 2012
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Title
Using smooth particle hydrodynamics to investigate femoral cortical bone remodelling at the Haversian level
Published in
International Journal for Numerical Methods in Biomedical Engineering, July 2012
DOI 10.1002/cnm.2503
Pubmed ID
Authors

J. W. Fernandez, R. Das, P. W. Cleary, P. J. Hunter, C. D .L. Thomas, J. G. Clement

Abstract

In the neck of the femur, about 70% of the strength is contributed by the cortical bone, which is the most highly stressed part of the structure and is the site where failure is almost certainly initiated. A better understanding of cortical bone remodelling mechanisms can help discern changes at this anatomical site, which are essential if an understanding of the mechanisms by which hips weaken and become vulnerable to fracture is to be gained. The aims of this study were to (i) examine a hypothesis that low strain fields arise because of subject-specific Haversian canal distributions causing bone resorption and reduced bone integrity and (ii) introduce the use of a meshless particle-based computational modelling approach SPH to capture bone remodelling features at the level of the Haversian canals. We show that bone remodelling initiated by strain at the Haversian level is highly influenced by the subject-specific pore distribution, bone density, loading and osteocyte density. SPH is shown to be effective at capturing the intricate bone pore shapes that evolved over time.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 4%
Germany 1 4%
Unknown 22 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 29%
Student > Master 3 13%
Lecturer 2 8%
Student > Bachelor 2 8%
Professor 2 8%
Other 5 21%
Unknown 3 13%
Readers by discipline Count As %
Engineering 12 50%
Medicine and Dentistry 3 13%
Sports and Recreations 1 4%
Mathematics 1 4%
Materials Science 1 4%
Other 1 4%
Unknown 5 21%
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 11 July 2012.
All research outputs
#20,011,776
of 24,590,593 outputs
Outputs from International Journal for Numerical Methods in Biomedical Engineering
#239
of 403 outputs
Outputs of similar age
#130,477
of 167,750 outputs
Outputs of similar age from International Journal for Numerical Methods in Biomedical Engineering
#2
of 8 outputs
Altmetric has tracked 24,590,593 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 403 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.