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Synchrony analysis: application in early diagnosis, staging and prognosis of multiple sclerosis

Overview of attention for article published in Frontiers in Computational Neuroscience, July 2014
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Citations

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Title
Synchrony analysis: application in early diagnosis, staging and prognosis of multiple sclerosis
Published in
Frontiers in Computational Neuroscience, July 2014
DOI 10.3389/fncom.2014.00073
Pubmed ID
Authors

Zahra Ghanbari, Shahriar Gharibzadeh

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Portugal 1 6%
Unknown 16 89%

Demographic breakdown

Readers by professional status Count As %
Other 5 28%
Student > Ph. D. Student 2 11%
Researcher 2 11%
Professor > Associate Professor 2 11%
Student > Master 1 6%
Other 3 17%
Unknown 3 17%
Readers by discipline Count As %
Neuroscience 5 28%
Medicine and Dentistry 4 22%
Engineering 2 11%
Social Sciences 1 6%
Environmental Science 1 6%
Other 2 11%
Unknown 3 17%