↓ Skip to main content

PLOS

Quantitative Normative Gait Data in a Large Cohort of Ambulatory Persons with Parkinson’s Disease

Overview of attention for article published in PLOS ONE, August 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
172 Mendeley
Title
Quantitative Normative Gait Data in a Large Cohort of Ambulatory Persons with Parkinson’s Disease
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0042337
Pubmed ID
Authors

Chris J. Hass, Paul Malczak, Joe Nocera, Elizabeth L. Stegemöller, Aparna Shukala, Irene Malaty, Charles E. Jacobson, Michael S. Okun, Nick McFarland

Abstract

Gait performance is widely evaluated to assess health status in older adult populations. While several investigators have presented normative values for spatiotemporal gait parameters drawn from older adult populations, the literature has been void of large-scale cohort studies, which are needed in order to provide quantitative, normative gait data in persons with Parkinson's disease. The aim of this investigation was to provide reference values for clinically important gait characteristics in a large sample of ambulatory persons with Parkinson's disease to aid both clinicians and researchers in their evaluations and treatments of gait impairment.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
United States 2 1%
Unknown 167 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 17%
Student > Ph. D. Student 27 16%
Researcher 23 13%
Student > Bachelor 19 11%
Student > Doctoral Student 13 8%
Other 23 13%
Unknown 38 22%
Readers by discipline Count As %
Medicine and Dentistry 36 21%
Neuroscience 29 17%
Nursing and Health Professions 17 10%
Engineering 16 9%
Sports and Recreations 9 5%
Other 20 12%
Unknown 45 26%