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Mendeley readers
| Chapter title |
Analytics and Big Data
|
|---|---|
| Chapter number | 8 |
| Book title |
Intelligent Techniques for Data Science
|
| Published by |
Springer International Publishing, October 2016
|
| DOI | 10.1007/978-3-319-29206-9_8 |
| Book ISBNs |
978-3-31-929205-2, 978-3-31-929206-9
|
| Authors |
Rajendra Akerkar, Priti Srinivas Sajja |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 15% |
| Student > Doctoral Student | 4 | 15% |
| Researcher | 4 | 15% |
| Student > Master | 4 | 15% |
| Student > Postgraduate | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 6 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 33% |
| Engineering | 6 | 22% |
| Business, Management and Accounting | 3 | 11% |
| Physics and Astronomy | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 6 | 22% |