Intelligent Techniques for Data Science
Springer International Publishing
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Timeline
X Demographics
Mendeley readers
| Title |
Intelligent Techniques for Data Science
|
|---|---|
| Published by |
Springer International Publishing, January 2016
|
| DOI | 10.1007/978-3-319-29206-9 |
| ISBNs |
978-3-31-929205-2, 978-3-31-929206-9
|
| Authors |
Akerkar, Rajendra, Sajja, Priti Srinivas, Rajendra Akerkar, Priti Srinivas Sajja |
X Demographics
The data shown below were collected from the profile of 1 X user 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 % |
|---|---|---|
| Norway | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 21% |
| Student > Ph. D. Student | 17 | 18% |
| Student > Bachelor | 13 | 14% |
| Researcher | 8 | 9% |
| Professor > Associate Professor | 6 | 7% |
| Other | 13 | 14% |
| Unknown | 16 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 32 | 35% |
| Engineering | 11 | 12% |
| Business, Management and Accounting | 6 | 7% |
| Agricultural and Biological Sciences | 6 | 7% |
| Mathematics | 5 | 5% |
| Other | 10 | 11% |
| Unknown | 22 | 24% |