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Mendeley readers
| Chapter title |
Principal Component Analysis for Special Types of Data
|
|---|---|
| Chapter number | 13 |
| Book title |
Principal Component Analysis
|
| Published by |
Springer New York, January 2002
|
| DOI | 10.1007/0-387-22440-8_13 |
| Book ISBNs |
978-0-387-95442-4, 978-0-387-95442-4, 978-0-387-22440-4
|
Mendeley readers
The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | <1% |
| Unknown | 185 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 27 | 15% |
| Student > Ph. D. Student | 23 | 12% |
| Researcher | 15 | 8% |
| Student > Doctoral Student | 10 | 5% |
| Student > Bachelor | 9 | 5% |
| Other | 26 | 14% |
| Unknown | 76 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 21 | 11% |
| Agricultural and Biological Sciences | 18 | 10% |
| Computer Science | 10 | 5% |
| Biochemistry, Genetics and Molecular Biology | 7 | 4% |
| Earth and Planetary Sciences | 7 | 4% |
| Other | 39 | 21% |
| Unknown | 84 | 45% |