The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Title |
CycleStyleGAN-Based Knowledge Transfer for a Machining Digital Twin
|
---|---|
Published in |
Frontiers in Artificial Intelligence, November 2021
|
DOI | 10.3389/frai.2021.767451 |
Pubmed ID | |
Authors |
Evgeny Zotov, Visakan Kadirkamanathan |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 66 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 11% |
Unspecified | 5 | 8% |
Researcher | 5 | 8% |
Student > Doctoral Student | 3 | 5% |
Professor | 3 | 5% |
Other | 7 | 11% |
Unknown | 36 | 55% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 9 | 14% |
Unspecified | 5 | 8% |
Computer Science | 5 | 8% |
Business, Management and Accounting | 4 | 6% |
Mathematics | 1 | 2% |
Other | 2 | 3% |
Unknown | 40 | 61% |