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Mendeley readers
| Title |
Computational modeling of the immune response in multiple sclerosis using epimod framework
|
|---|---|
| Published in |
BMC Bioinformatics, December 2020
|
| DOI | 10.1186/s12859-020-03823-9 |
| Pubmed ID | |
| Authors |
Simone Pernice, Laura Follia, Alessandro Maglione, Marzio Pennisi, Francesco Pappalardo, Francesco Novelli, Marinella Clerico, Marco Beccuti, Francesca Cordero, Simona Rolla |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 13% |
| Lecturer | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Professor | 2 | 9% |
| Student > Bachelor | 1 | 4% |
| Other | 6 | 26% |
| Unknown | 7 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 17% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Computer Science | 3 | 13% |
| Business, Management and Accounting | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 7 | 30% |