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X Demographics
Mendeley readers
Title |
Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory
|
---|---|
Published in |
Frontiers in Artificial Intelligence, January 2022
|
DOI | 10.3389/frai.2021.718950 |
Pubmed ID | |
Authors |
Lasitha Vidyaratne, Adam Carpenter, Tom Powers, Chris Tennant, Khan M. Iftekharuddin, Monibor Rahman, Anna S. Shabalina |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 20% |
Sweden | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 13% |
Unspecified | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Lecturer | 1 | 7% |
Student > Master | 1 | 7% |
Other | 1 | 7% |
Unknown | 8 | 53% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 13% |
Business, Management and Accounting | 1 | 7% |
Unspecified | 1 | 7% |
Physics and Astronomy | 1 | 7% |
Engineering | 1 | 7% |
Other | 0 | 0% |
Unknown | 9 | 60% |