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A hyperelastic fibre-reinforced continuum model of healing tendons with distributed collagen fibre orientations

Overview of attention for article published in Biomechanics and Modeling in Mechanobiology, March 2016
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Title
A hyperelastic fibre-reinforced continuum model of healing tendons with distributed collagen fibre orientations
Published in
Biomechanics and Modeling in Mechanobiology, March 2016
DOI 10.1007/s10237-016-0774-5
Pubmed ID
Authors

M. N. Bajuri, Hanna Isaksson, Pernilla Eliasson, Mark S. Thompson

Abstract

The healing process of ruptured tendons is problematic due to scar tissue formation and deteriorated material properties, and in some cases, it may take nearly a year to complete. Mechanical loading has been shown to positively influence tendon healing; however, the mechanisms remain unclear. Computational mechanobiology methods employed extensively to model bone healing have achieved high fidelity. This study aimed to investigate whether an established hyperelastic fibre-reinforced continuum model introduced by Gasser, Ogden and Holzapfel (GOH) can be used to capture the mechanical behaviour of the Achilles tendon under loading during discrete timepoints of the healing process and to assess the model's sensitivity to its microstructural parameters. Curve fitting of the GOH model against experimental tensile testing data of rat Achilles tendons at four timepoints during the tendon repair was used and achieved excellent fits ([Formula: see text]). A parametric sensitivity study using a three-level central composite design, which is a fractional factorial design method, showed that the collagen-fibre-related parameters in the GOH model-[Formula: see text] and [Formula: see text]-had almost equal influence on the fitting. This study demonstrates that the GOH hyperelastic fibre-reinforced model is capable of describing the mechanical behaviour of healing tendons and that further experiments should focus on establishing the structural and material parameters of collagen fibres in the healing tissue.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 28%
Researcher 6 12%
Student > Master 6 12%
Other 3 6%
Student > Doctoral Student 3 6%
Other 11 22%
Unknown 7 14%
Readers by discipline Count As %
Engineering 22 44%
Agricultural and Biological Sciences 6 12%
Materials Science 4 8%
Medicine and Dentistry 3 6%
Physics and Astronomy 2 4%
Other 4 8%
Unknown 9 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 March 2016.
All research outputs
#14,906,966
of 23,849,058 outputs
Outputs from Biomechanics and Modeling in Mechanobiology
#217
of 486 outputs
Outputs of similar age
#160,557
of 301,287 outputs
Outputs of similar age from Biomechanics and Modeling in Mechanobiology
#5
of 11 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 486 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 35th percentile – i.e., 35% 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 301,287 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.