Advances in Principal Component Analysis
Springer, Singapore
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Timeline
X Demographics
Mendeley readers
| Title |
Advances in Principal Component Analysis
|
|---|---|
| Published by |
Springer, Singapore, January 2018
|
| DOI | 10.1007/978-981-10-6704-4 |
| ISBNs |
978-9-81-106703-7, 978-9-81-106704-4
|
| Editors |
Ganesh R. Naik |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 110 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 15% |
| Student > Master | 16 | 15% |
| Student > Ph. D. Student | 14 | 13% |
| Student > Doctoral Student | 12 | 11% |
| Student > Bachelor | 9 | 8% |
| Other | 10 | 9% |
| Unknown | 33 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 15% |
| Social Sciences | 7 | 6% |
| Computer Science | 7 | 6% |
| Environmental Science | 5 | 5% |
| Agricultural and Biological Sciences | 5 | 5% |
| Other | 27 | 25% |
| Unknown | 42 | 38% |