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Mendeley readers
| Chapter title |
Forecasting Demand for Fashion Goods:A Hierarchical Bayesian Approach
|
|---|---|
| Chapter number | 5 |
| Book title |
Intelligent Fashion Forecasting Systems: Models and Applications
|
| Published by |
Springer, Berlin, Heidelberg, January 2014
|
| DOI | 10.1007/978-3-642-39869-8_5 |
| Book ISBNs |
978-3-64-239868-1, 978-3-64-239869-8
|
| Authors |
Phillip M. Yelland, Xiaojing Dong, Yelland, Phillip M., Dong, Xiaojing |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 27% |
| Student > Ph. D. Student | 4 | 18% |
| Researcher | 3 | 14% |
| Lecturer | 1 | 5% |
| Other | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 5 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 5 | 23% |
| Computer Science | 4 | 18% |
| Engineering | 3 | 14% |
| Mathematics | 2 | 9% |
| Economics, Econometrics and Finance | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 5 | 23% |