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 |
X Demographics
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
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 | 10 | 14% |
Unknown | 24 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 15% |
Neuroscience | 6 | 8% |
Engineering | 4 | 6% |
Nursing and Health Professions | 3 | 4% |
Biochemistry, Genetics and Molecular Biology | 3 | 4% |
Other | 13 | 18% |
Unknown | 31 | 44% |