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Mendeley readers
| Chapter title |
Why This Book?
|
|---|---|
| Chapter number | 1 |
| Book title |
Machine-learning Techniques in Economics
|
| Published by |
Springer, Cham, January 2017
|
| DOI | 10.1007/978-3-319-69014-8_1 |
| Book ISBNs |
978-3-31-969013-1, 978-3-31-969014-8
|
| Authors |
Atin Basuchoudhary, James T. Bang, Tinni Sen |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| United Kingdom | 4 | 3% |
| Germany | 3 | 2% |
| Portugal | 2 | 2% |
| India | 1 | <1% |
| France | 1 | <1% |
| China | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 106 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 33% |
| Researcher | 24 | 20% |
| Student > Master | 18 | 15% |
| Student > Doctoral Student | 10 | 8% |
| Student > Bachelor | 9 | 7% |
| Other | 22 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 42 | 34% |
| Computer Science | 22 | 18% |
| Unspecified | 13 | 11% |
| Agricultural and Biological Sciences | 7 | 6% |
| Linguistics | 6 | 5% |
| Other | 33 | 27% |