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Timeline
X Demographics
Mendeley readers
| Title |
Detection of COVID-19 Using Deep Learning Techniques and Cost Effectiveness Evaluation: A Survey
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, May 2022
|
| DOI | 10.3389/frai.2022.912022 |
| Pubmed ID | |
| Authors |
Manoj Kumar M. V., Shadi Atalla, Nasser Almuraqab, Immanuel Azaad Moonesar |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Arab Emirates | 1 | 25% |
| United States | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 11% |
| Unspecified | 4 | 7% |
| Other | 3 | 6% |
| Student > Master | 3 | 6% |
| Lecturer | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 31 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 13% |
| Unspecified | 4 | 7% |
| Medicine and Dentistry | 3 | 6% |
| Engineering | 2 | 4% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 34 | 63% |