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Material Models and Properties in the Finite Element Analysis of Knee Ligaments: A Literature Review

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, November 2014
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Title
Material Models and Properties in the Finite Element Analysis of Knee Ligaments: A Literature Review
Published in
Frontiers in Bioengineering and Biotechnology, November 2014
DOI 10.3389/fbioe.2014.00054
Pubmed ID
Authors

Fabio Galbusera, Maren Freutel, Lutz Dürselen, Marta D’Aiuto, Davide Croce, Tomaso Villa, Valerio Sansone, Bernardo Innocenti

Abstract

Knee ligaments are elastic bands of soft tissue with a complex microstructure and biomechanics, which are critical to determine the kinematics as well as the stress bearing behavior of the knee joint. Their correct implementation in terms of material models and properties is therefore necessary in the development of finite element models of the knee, which has been performed for decades for the investigation of both its basic biomechanics and the development of replacement implants and repair strategies for degenerative and traumatic pathologies. Indeed, a wide range of element types and material models has been used to represent knee ligaments, ranging from elastic unidimensional elements to complex hyperelastic three-dimensional structures with anatomically realistic shapes. This paper systematically reviews literature studies, which described finite element models of the knee, and summarizes the approaches, which have been used to model the ligaments highlighting their strengths and weaknesses.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 <1%
Sweden 1 <1%
Australia 1 <1%
Unknown 217 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 46 21%
Student > Ph. D. Student 35 16%
Researcher 26 12%
Student > Doctoral Student 12 5%
Student > Bachelor 12 5%
Other 26 12%
Unknown 63 29%
Readers by discipline Count As %
Engineering 99 45%
Medicine and Dentistry 16 7%
Agricultural and Biological Sciences 6 3%
Sports and Recreations 5 2%
Unspecified 3 1%
Other 13 6%
Unknown 78 35%
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 18 November 2014.
All research outputs
#18,383,471
of 22,770,070 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,381
of 6,524 outputs
Outputs of similar age
#260,159
of 360,537 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#24
of 35 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,524 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 29th percentile – i.e., 29% 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 360,537 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.