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Mendeley readers
| Chapter title |
Spectral Methods
|
|---|---|
| Chapter number | 7 |
| Book title |
Generalized Principal Component Analysis
|
| Published by |
Springer, New York, NY, January 2016
|
| DOI | 10.1007/978-0-387-87811-9_7 |
| Book ISBNs |
978-0-387-87810-2, 978-0-387-87811-9
|
| Authors |
René Vidal, Yi Ma, S. Shankar Sastry |
Mendeley readers
The data shown below were compiled from readership statistics for 453 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 2% |
| United Kingdom | 4 | <1% |
| India | 4 | <1% |
| Italy | 3 | <1% |
| Germany | 3 | <1% |
| France | 3 | <1% |
| China | 2 | <1% |
| Sweden | 2 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 13 | 3% |
| Unknown | 411 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 162 | 36% |
| Researcher | 73 | 16% |
| Student > Master | 51 | 11% |
| Professor > Associate Professor | 27 | 6% |
| Student > Doctoral Student | 25 | 6% |
| Other | 68 | 15% |
| Unknown | 47 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 149 | 33% |
| Mathematics | 101 | 22% |
| Physics and Astronomy | 52 | 11% |
| Computer Science | 37 | 8% |
| Earth and Planetary Sciences | 20 | 4% |
| Other | 30 | 7% |
| Unknown | 64 | 14% |