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Mendeley readers
| Chapter title |
Intelligent Data Analysis Techniques—Machine Learning and Data Mining
|
|---|---|
| Chapter number | 1 |
| Book title |
Artificial Intelligent Approaches in Petroleum Geosciences
|
| Published by |
Springer, Cham, January 2015
|
| DOI | 10.1007/978-3-319-16531-8_1 |
| Book ISBNs |
978-3-31-916530-1, 978-3-31-916531-8
|
| Authors |
Dan Simovici, Simovici, Dan |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 27% |
| Lecturer | 2 | 18% |
| Student > Ph. D. Student | 2 | 18% |
| Professor | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 36% |
| Computer Science | 2 | 18% |
| Energy | 2 | 18% |
| Agricultural and Biological Sciences | 1 | 9% |
| Unknown | 2 | 18% |