You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 69 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 16% |
Student > Bachelor | 7 | 10% |
Student > Ph. D. Student | 6 | 9% |
Lecturer | 6 | 9% |
Student > Doctoral Student | 4 | 6% |
Other | 11 | 16% |
Unknown | 24 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 19% |
Business, Management and Accounting | 10 | 14% |
Agricultural and Biological Sciences | 7 | 10% |
Engineering | 5 | 7% |
Economics, Econometrics and Finance | 4 | 6% |
Other | 6 | 9% |
Unknown | 24 | 35% |