The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
| Title |
Combined Support Vector Machine Classifier and Brain Structural Network Features for the Individual Classification of Amnestic Mild Cognitive Impairment and Subjective Cognitive Decline Patients
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, July 2021
|
| DOI | 10.3389/fnagi.2021.687927 |
| Pubmed ID | |
| Authors |
Weijie Huang, Xuanyu Li, Xin Li, Guixia Kang, Ying Han, Ni Shu |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 20% |
| Lecturer | 2 | 8% |
| Student > Doctoral Student | 2 | 8% |
| Researcher | 2 | 8% |
| Student > Master | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 12 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 4 | 16% |
| Neuroscience | 3 | 12% |
| Chemical Engineering | 2 | 8% |
| Computer Science | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 52% |