Title |
Volumetric MRI Markers and Predictors of Disease Activity in Early Multiple Sclerosis: A Longitudinal Cohort Study
|
---|---|
Published in |
PLOS ONE, November 2012
|
DOI | 10.1371/journal.pone.0050101 |
Pubmed ID | |
Authors |
Tomas Kalincik, Manuela Vaneckova, Michaela Tyblova, Jan Krasensky, Zdenek Seidl, Eva Havrdova, Dana Horakova |
Abstract |
To compare clinical and MRI parameters between patients with clinically isolated syndrome and those converting to clinically definite multiple sclerosis within 2 years, to identify volumetric MRI predictors of this conversion and to assess effect of early relapses. |
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 Kingdom | 1 | 33% |
Egypt | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 1% |
Germany | 1 | 1% |
Italy | 1 | 1% |
Brazil | 1 | 1% |
Slovenia | 1 | 1% |
Spain | 1 | 1% |
United States | 1 | 1% |
Unknown | 90 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 14% |
Researcher | 11 | 11% |
Student > Doctoral Student | 10 | 10% |
Student > Bachelor | 9 | 9% |
Other | 9 | 9% |
Other | 25 | 26% |
Unknown | 19 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 40 | 41% |
Neuroscience | 14 | 14% |
Psychology | 5 | 5% |
Engineering | 4 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
Other | 6 | 6% |
Unknown | 25 | 26% |