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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.
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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 88 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 18 | 20% |
Student > Ph. D. Student | 16 | 18% |
Student > Bachelor | 13 | 15% |
Researcher | 8 | 9% |
Professor > Associate Professor | 6 | 7% |
Other | 12 | 14% |
Unknown | 15 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 31 | 35% |
Engineering | 11 | 13% |
Business, Management and Accounting | 6 | 7% |
Agricultural and Biological Sciences | 6 | 7% |
Mathematics | 4 | 5% |
Other | 9 | 10% |
Unknown | 21 | 24% |