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X Demographics
Mendeley readers
Title |
Evaluation of multi‐segmental kinematic modelling in the paediatric foot using three concurrent foot models
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Published in |
Journal of Foot and Ankle Research, October 2013
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DOI | 10.1186/1757-1146-6-43 |
Pubmed ID | |
Authors |
Ryan Mahaffey, Stewart C Morrison, Wendy I Drechsler, Mary C Cramp |
Abstract |
Various foot models are used in the analysis of foot motion during gait and selection of the appropriate model can be difficult. The clinical utility of a model is dependent on the repeatability of the data as well as an understanding of the expected error in the process of data collection. Kinematic assessment of the paediatric foot is challenging and little is reported about multi-segment foot models in this population. The aim of this study was to examine three foot models and establish their concurrent test-retest repeatability in evaluation of paediatric foot motion during gait. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 1% |
Unknown | 81 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 20% |
Student > Master | 15 | 18% |
Student > Bachelor | 12 | 15% |
Student > Ph. D. Student | 11 | 13% |
Student > Doctoral Student | 3 | 4% |
Other | 10 | 12% |
Unknown | 15 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 20 | 24% |
Medicine and Dentistry | 10 | 12% |
Sports and Recreations | 9 | 11% |
Nursing and Health Professions | 7 | 9% |
Agricultural and Biological Sciences | 2 | 2% |
Other | 12 | 15% |
Unknown | 22 | 27% |