| Title |
Intelligent Manufacturing Systems in COVID-19 Pandemic and Beyond: Framework and Impact Assessment
|
|---|---|
| Published in |
Chinese Journal of Mechanical Engineering, August 2020
|
| DOI | 10.1186/s10033-020-00476-w |
| Authors |
Xingyu Li, Baicun Wang, Chao Liu, Theodor Freiheit, Bogdan I. Epureanu |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 118 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 14% |
| Student > Ph. D. Student | 14 | 12% |
| Researcher | 12 | 10% |
| Student > Bachelor | 11 | 9% |
| Student > Doctoral Student | 7 | 6% |
| Other | 20 | 17% |
| Unknown | 38 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 33 | 28% |
| Business, Management and Accounting | 16 | 14% |
| Social Sciences | 5 | 4% |
| Computer Science | 5 | 4% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 18 | 15% |
| Unknown | 38 | 32% |