You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
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% |