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The Glasgow-Maastricht foot model, evaluation of a 26 segment kinematic model of the foot

Overview of attention for article published in Journal of Foot and Ankle Research, July 2016
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  • Good Attention Score compared to outputs of the same age (70th percentile)

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6 tweeters
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1 Facebook page

Citations

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6 Dimensions

Readers on

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51 Mendeley
Title
The Glasgow-Maastricht foot model, evaluation of a 26 segment kinematic model of the foot
Published in
Journal of Foot and Ankle Research, July 2016
DOI 10.1186/s13047-016-0152-7
Pubmed ID
Authors

Michiel Oosterwaal, Sylvain Carbes, Scott Telfer, James Woodburn, Søren Tørholm, Amir A. Al-Munajjed, Lodewijk van Rhijn, Kenneth Meijer

Abstract

Accurately measuring of intrinsic foot kinematics using skin mounted markers is difficult, limited in part by the physical dimensions of the foot. Existing kinematic foot models solve this problem by combining multiple bones into idealized rigid segments. This study presents a novel foot model that allows the motion of the 26 bones to be individually estimated via a combination of partial joint constraints and coupling the motion of separate joints using kinematic rhythms. Segmented CT data from one healthy subject was used to create a template Glasgow-Maastricht foot model (GM-model). Following this, the template was scaled to produce subject-specific models for five additional healthy participants using a surface scan of the foot and ankle. Forty-three skin mounted markers, mainly positioned around the foot and ankle, were used to capture the stance phase of the right foot of the six healthy participants during walking. The GM-model was then applied to calculate the intrinsic foot kinematics. Distinct motion patterns where found for all joints. The variability in outcome depended on the location of the joint, with reasonable results for sagittal plane motions and poor results for transverse plane motions. The results of the GM-model were comparable with existing literature, including bone pin studies, with respect to the range of motion, motion pattern and timing of the motion in the studied joints. This novel model is the most complete kinematic model to date. Further evaluation of the model is warranted.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Switzerland 1 2%
Unknown 49 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 20%
Student > Bachelor 10 20%
Student > Master 10 20%
Researcher 4 8%
Professor 4 8%
Other 8 16%
Unknown 5 10%
Readers by discipline Count As %
Engineering 16 31%
Sports and Recreations 9 18%
Medicine and Dentistry 5 10%
Agricultural and Biological Sciences 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 6 12%
Unknown 10 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 September 2016.
All research outputs
#3,906,001
of 14,159,145 outputs
Outputs from Journal of Foot and Ankle Research
#330
of 556 outputs
Outputs of similar age
#76,907
of 259,818 outputs
Outputs of similar age from Journal of Foot and Ankle Research
#1
of 1 outputs
Altmetric has tracked 14,159,145 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 556 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one is in the 39th percentile – i.e., 39% 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 259,818 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them