Principal Component Analysis
Springer New York
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
| Chapter title |
Principal Component Analysis for Time Series and Other Non-Independent Data
|
|---|---|
| Chapter number | 12 |
| Book title |
Principal Component Analysis
|
| Published by |
Springer New York, January 2002
|
| DOI | 10.1007/0-387-22440-8_12 |
| 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 2% |
| Unknown | 49 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 22% |
| Student > Ph. D. Student | 11 | 22% |
| Student > Master | 8 | 16% |
| Student > Doctoral Student | 3 | 6% |
| Student > Postgraduate | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 9 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 26% |
| Computer Science | 5 | 10% |
| Earth and Planetary Sciences | 3 | 6% |
| Neuroscience | 3 | 6% |
| Physics and Astronomy | 3 | 6% |
| Other | 9 | 18% |
| Unknown | 14 | 28% |