| Title |
A new method of large-scale short-term forecasting of agricultural commodity prices: illustrated by the case of agricultural markets in Beijing
|
|---|---|
| Published in |
Journal of Big Data, January 2017
|
| DOI | 10.1186/s40537-016-0062-3 |
| Authors |
Haoyang Wu, Huaili Wu, Minfeng Zhu, Weifeng Chen, Wei Chen |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 15% |
| Student > Bachelor | 7 | 10% |
| Student > Ph. D. Student | 6 | 8% |
| Lecturer | 6 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 13 | 18% |
| Unknown | 24 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 18% |
| Business, Management and Accounting | 10 | 14% |
| Agricultural and Biological Sciences | 7 | 10% |
| Engineering | 5 | 7% |
| Economics, Econometrics and Finance | 4 | 6% |
| Other | 8 | 11% |
| Unknown | 24 | 34% |