The data shown below were collected from the profiles of 5 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 |
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% |