The data shown below were collected from the profiles of 6 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 |
A Transfer Learning–Based Active Learning Framework for Brain Tumor Classification
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, May 2021
|
| DOI | 10.3389/frai.2021.635766 |
| Pubmed ID | |
| Authors |
Ruqian Hao, Khashayar Namdar, Lin Liu, Farzad Khalvati |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 11% |
| Student > Master | 9 | 11% |
| Researcher | 6 | 7% |
| Lecturer > Senior Lecturer | 4 | 5% |
| Student > Doctoral Student | 3 | 4% |
| Other | 12 | 14% |
| Unknown | 41 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 24% |
| Engineering | 7 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Unspecified | 2 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 45 | 54% |