↓ Skip to main content

Repeatability of a multi‐segment foot model with a 15‐marker set in healthy adults

Overview of attention for article published in Journal of Foot and Ankle Research, April 2014
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
74 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Repeatability of a multi‐segment foot model with a 15‐marker set in healthy adults
Published in
Journal of Foot and Ankle Research, April 2014
DOI 10.1186/1757-1146-7-24
Pubmed ID
Authors

Sang Gyo Seo, Dong Yeon Lee, Hyuk Ju Moon, Sung Ju Kim, Jihyeung Kim, Kyoung Min Lee, Chin Youb Chung, In Ho Choi

Abstract

Several 3D multi-segment foot models (MFMs) have been introduced for the in vivo analysis of dynamic foot kinematics. However, reproducibility of a model should be checked and ascertained before clinical utilization of a MFM. The purpose of this study was to determine the reliability of recently introduced MFM with a 15-marker set by assessing the participant's stride-to-stride (intra-session) and visit-to-revisit (inter-session) repeatability.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 3%
Luxembourg 1 1%
Poland 1 1%
Unknown 70 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 20%
Student > Ph. D. Student 12 16%
Student > Master 12 16%
Researcher 9 12%
Other 6 8%
Other 8 11%
Unknown 12 16%
Readers by discipline Count As %
Engineering 17 23%
Sports and Recreations 14 19%
Medicine and Dentistry 13 18%
Nursing and Health Professions 5 7%
Social Sciences 2 3%
Other 8 11%
Unknown 15 20%