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Quantification and recognition of parkinsonian gait from monocular video imaging using kernel-based principal component analysis

Overview of attention for article published in BioMedical Engineering OnLine, November 2011
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Citations

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Title
Quantification and recognition of parkinsonian gait from monocular video imaging using kernel-based principal component analysis
Published in
BioMedical Engineering OnLine, November 2011
DOI 10.1186/1475-925x-10-99
Pubmed ID
Authors

Shih-Wei Chen, Sheng-Huang Lin, Lun-De Liao, Hsin-Yi Lai, Yu-Cheng Pei, Te-Son Kuo, Chin-Teng Lin, Jyh-Yeong Chang, You-Yin Chen, Yu-Chun Lo, Shin-Yuan Chen, Robby Wu, Siny Tsang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
France 1 <1%
Luxembourg 1 <1%
Taiwan 1 <1%
Unknown 107 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 19%
Researcher 11 10%
Student > Ph. D. Student 9 8%
Student > Bachelor 7 6%
Professor > Associate Professor 7 6%
Other 21 19%
Unknown 35 32%
Readers by discipline Count As %
Engineering 17 15%
Medicine and Dentistry 14 13%
Computer Science 9 8%
Neuroscience 7 6%
Sports and Recreations 6 5%
Other 17 15%
Unknown 41 37%