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X Demographics
Mendeley readers
| Title |
Fetal Organ Anomaly Classification Network for Identifying Organ Anomalies in Fetal MRI
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, March 2022
|
| DOI | 10.3389/frai.2022.832485 |
| Pubmed ID | |
| Authors |
Justin Lo, Adam Lim, Matthias W. Wagner, Birgit Ertl-Wagner, Dafna Sussman |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Researcher | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 9 | 64% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 21% |
| Agricultural and Biological Sciences | 1 | 7% |
| Engineering | 1 | 7% |
| Unknown | 9 | 64% |