↓ Skip to main content

Foot posture influences the electromyographic activity of selected lower limb muscles during gait

Overview of attention for article published in Journal of Foot and Ankle Research, November 2009
Altmetric Badge

Mentioned by

twitter
4 X users
facebook
2 Facebook pages
video
1 YouTube creator

Citations

dimensions_citation
157 Dimensions

Readers on

mendeley
304 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
Foot posture influences the electromyographic activity of selected lower limb muscles during gait
Published in
Journal of Foot and Ankle Research, November 2009
DOI 10.1186/1757-1146-2-35
Pubmed ID
Authors

George S Murley, Hylton B Menz, Karl B Landorf

Abstract

Some studies have found that flat-arched foot posture is related to altered lower limb muscle function compared to normal- or high-arched feet. However, the results from these studies were based on highly selected populations such as those with rheumatoid arthritis. Therefore, the objective of this study was to compare lower limb muscle function of normal and flat-arched feet in people without pain or disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 304 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 3 <1%
Canada 2 <1%
Netherlands 1 <1%
Sudan 1 <1%
Sweden 1 <1%
South Africa 1 <1%
Malaysia 1 <1%
Colombia 1 <1%
Singapore 1 <1%
Other 6 2%
Unknown 286 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 52 17%
Student > Bachelor 42 14%
Student > Ph. D. Student 35 12%
Researcher 30 10%
Professor 15 5%
Other 73 24%
Unknown 57 19%
Readers by discipline Count As %
Medicine and Dentistry 84 28%
Sports and Recreations 55 18%
Nursing and Health Professions 33 11%
Engineering 27 9%
Agricultural and Biological Sciences 12 4%
Other 19 6%
Unknown 74 24%