The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
| Title |
Hierarchical vector auto-regressive models and their applications to multi-subject effective connectivity
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2013
|
| DOI | 10.3389/fncom.2013.00159 |
| Pubmed ID | |
| Authors |
Cristina Gorrostieta, Mark Fiecas, Hernando Ombao, Erin Burke, Steven Cramer |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| United States | 1 | 2% |
| Portugal | 1 | 2% |
| Unknown | 56 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 22% |
| Student > Ph. D. Student | 12 | 20% |
| Student > Master | 7 | 12% |
| Student > Doctoral Student | 3 | 5% |
| Student > Postgraduate | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 11 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 14% |
| Psychology | 7 | 12% |
| Mathematics | 6 | 10% |
| Agricultural and Biological Sciences | 4 | 7% |
| Computer Science | 4 | 7% |
| Other | 11 | 19% |
| Unknown | 19 | 32% |