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Mendeley readers
| Chapter title |
Robust Principal Component Analysis
|
|---|---|
| Chapter number | 3 |
| Book title |
Generalized Principal Component Analysis
|
| Published by |
Springer, New York, NY, January 2016
|
| DOI | 10.1007/978-0-387-87811-9_3 |
| 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 752 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 2% |
| China | 5 | <1% |
| Germany | 3 | <1% |
| Japan | 3 | <1% |
| Hong Kong | 2 | <1% |
| France | 2 | <1% |
| Switzerland | 2 | <1% |
| Singapore | 2 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 8 | 1% |
| Unknown | 709 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 245 | 33% |
| Researcher | 104 | 14% |
| Student > Master | 81 | 11% |
| Student > Bachelor | 46 | 6% |
| Student > Doctoral Student | 30 | 4% |
| Other | 112 | 15% |
| Unknown | 134 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 258 | 34% |
| Engineering | 150 | 20% |
| Mathematics | 74 | 10% |
| Physics and Astronomy | 26 | 3% |
| Agricultural and Biological Sciences | 21 | 3% |
| Other | 68 | 9% |
| Unknown | 155 | 21% |