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Mendeley readers
| Title |
High-Dimensional ICA Analysis Detects Within-Network Functional Connectivity Damage of Default-Mode and Sensory-Motor Networks in Alzheimer’s Disease
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, February 2015
|
| DOI | 10.3389/fnhum.2015.00043 |
| Pubmed ID | |
| Authors |
Ottavia Dipasquale, Ludovica Griffanti, Mario Clerici, Raffaello Nemni, Giuseppe Baselli, Francesca Baglio |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| China | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 90 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 20% |
| Researcher | 18 | 19% |
| Student > Master | 16 | 17% |
| Professor | 5 | 5% |
| Student > Doctoral Student | 5 | 5% |
| Other | 15 | 16% |
| Unknown | 16 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 18 | 19% |
| Psychology | 17 | 18% |
| Medicine and Dentistry | 8 | 9% |
| Engineering | 7 | 7% |
| Agricultural and Biological Sciences | 5 | 5% |
| Other | 14 | 15% |
| Unknown | 25 | 27% |