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Mendeley readers
| Title |
Computational classifiers for predicting the short-term course of Multiple sclerosis
|
|---|---|
| Published in |
BMC Neurology, June 2011
|
| DOI | 10.1186/1471-2377-11-67 |
| Pubmed ID | |
| Authors |
Bartolome Bejarano, Mariangela Bianco, Dolores Gonzalez-Moron, Jorge Sepulcre, Joaquin Goñi, Juan Arcocha, Oscar Soto, Ubaldo Del Carro, Giancarlo Comi, Letizia Leocani, Pablo Villoslada |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 2% |
| Germany | 1 | 1% |
| Unknown | 84 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 24% |
| Student > Master | 10 | 11% |
| Student > Ph. D. Student | 9 | 10% |
| Student > Bachelor | 8 | 9% |
| Professor > Associate Professor | 7 | 8% |
| Other | 20 | 23% |
| Unknown | 12 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 29% |
| Engineering | 10 | 11% |
| Computer Science | 8 | 9% |
| Neuroscience | 8 | 9% |
| Agricultural and Biological Sciences | 5 | 6% |
| Other | 16 | 18% |
| Unknown | 15 | 17% |