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A novel magnet based 3D printed marker wand as basis for repeated in-shoe multi segment foot analysis: a proof of concept

Overview of attention for article published in Journal of Foot and Ankle Research, August 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

twitter
12 tweeters
facebook
1 Facebook page

Citations

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1 Dimensions

Readers on

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21 Mendeley
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Title
A novel magnet based 3D printed marker wand as basis for repeated in-shoe multi segment foot analysis: a proof of concept
Published in
Journal of Foot and Ankle Research, August 2017
DOI 10.1186/s13047-017-0220-7
Pubmed ID
Authors

Maarten Eerdekens, Filip Staes, Thomas Pilkington, Kevin Deschamps

Abstract

Application of in-shoe multi-segment foot kinematic analyses currently faces a number of challenges, including: (i) the difficulty to apply regular markers onto the skin, (ii) the necessity for an adequate shoe which fits various foot morphologies and (iii) the need for adequate repeatability throughout a repeated measure condition. The aim of this study therefore was to design novel magnet based 3D printed markers for repeated in-shoe measurements while using accordingly adapted modified shoes for a specific multi-segment foot model. Multi-segment foot kinematics of ten participants were recorded and kinematics of hindfoot, midfoot and forefoot were calculated. Dynamic trials were conducted to check for intra and inter-session repeatability when combining novel markers and modified shoes in a repeated measures design. Intraclass correlation coefficients were calculated to determine reliability. Both repeatability and reliability were proven to be good to excellent with maximum joint angle deviations of 1.11° for intra-session variability and 1.29° for same-day inter-session variability respectively and ICC values of >0.91. The novel markers can be reliably used in future research settings using in-shoe multi-segment foot kinematic analyses with multiple shod conditions.

Twitter Demographics

The data shown below were collected from the profiles of 12 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 24%
Student > Doctoral Student 2 10%
Student > Master 2 10%
Student > Ph. D. Student 2 10%
Professor 1 5%
Other 3 14%
Unknown 6 29%
Readers by discipline Count As %
Engineering 5 24%
Medicine and Dentistry 5 24%
Nursing and Health Professions 2 10%
Unknown 9 43%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 28 September 2017.
All research outputs
#2,160,788
of 14,390,043 outputs
Outputs from Journal of Foot and Ankle Research
#193
of 560 outputs
Outputs of similar age
#55,793
of 270,619 outputs
Outputs of similar age from Journal of Foot and Ankle Research
#1
of 1 outputs
Altmetric has tracked 14,390,043 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 560 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has gotten more attention than average, scoring higher than 65% of its peers.
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 270,619 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% 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