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X Demographics
Mendeley readers
| Title |
A systematic review on machine learning methods for root cause analysis towards zero-defect manufacturing
|
|---|---|
| Published in |
Frontiers in Manufacturing Technology, October 2022
|
| DOI | 10.3389/fmtec.2022.972712 |
| Authors |
Konstantinos Papageorgiou, Theodosios Theodosiou, Aikaterini Rapti, Elpiniki I. Papageorgiou, Nikolaos Dimitriou, Dimitrios Tzovaras, George Margetis |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Other | 2 | 8% |
| Unspecified | 2 | 8% |
| Researcher | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 10 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 38% |
| Unspecified | 2 | 8% |
| Chemical Engineering | 1 | 4% |
| Computer Science | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 42% |