The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer
|
|---|---|
| Published in |
Frontiers in Medicine, November 2022
|
| DOI | 10.3389/fmed.2022.1089705 |
| Pubmed ID | |
| Authors |
Annarita Fanizzi, Giovanni Scognamillo, Alessandra Nestola, Santa Bambace, Samantha Bove, Maria Colomba Comes, Cristian Cristofaro, Vittorio Didonna, Alessia Di Rito, Angelo Errico, Loredana Palermo, Pasquale Tamborra, Michele Troiano, Salvatore Parisi, Rossella Villani, Alfredo Zito, Marco Lioce, Raffaella Massafra |
| Abstract |
[This corrects the article DOI: 10.3389/fmed.2022.993395.]. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 50% |
| Other | 1 | 17% |
| Unknown | 2 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 50% |
| Medicine and Dentistry | 1 | 17% |
| Unknown | 2 | 33% |