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X Demographics
Mendeley readers
| Title |
Interpretable machine learning for predicting pathologic complete response in patients treated with chemoradiation therapy for rectal adenocarcinoma
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, December 2022
|
| DOI | 10.3389/frai.2022.1059033 |
| Pubmed ID | |
| Authors |
Du Wang, Sang Ho Lee, Huaizhi Geng, Haoyu Zhong, John Plastaras, Andrzej Wojcieszynski, Richard Caruana, Ying Xiao |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 24% |
| Student > Bachelor | 3 | 18% |
| Researcher | 2 | 12% |
| Student > Master | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 18% |
| Business, Management and Accounting | 2 | 12% |
| Engineering | 2 | 12% |
| Immunology and Microbiology | 1 | 6% |
| Mathematics | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 8 | 47% |