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The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach

Overview of attention for article published in this source, October 2019
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71 Mendeley
Title
The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach
Published by
Springer Nature, October 2019
DOI 10.1007/s10072-019-04093-x
Pubmed ID
Authors

Giampaolo Brichetto, Margherita Monti Bragadin, Samuele Fiorini, Mario Alberto Battaglia, Giovanna Konrad, Michela Ponzio, Ludovico Pedullà, Alessandro Verri, Annalisa Barla, Andrea Tacchino

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The data shown below were collected from the profiles of 3 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 15%
Student > Master 9 13%
Researcher 6 8%
Other 6 8%
Student > Bachelor 5 7%
Other 12 17%
Unknown 22 31%
Readers by discipline Count As %
Medicine and Dentistry 11 15%
Neuroscience 6 8%
Engineering 4 6%
Nursing and Health Professions 3 4%
Unspecified 3 4%
Other 15 21%
Unknown 29 41%