The data shown below were collected from the profiles of 2 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 |
Interpretable machine learning for predicting pathologic complete response in patients treated with chemoradiation therapy for rectal adenocarcinoma
|
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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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 21% |
Student > Bachelor | 3 | 16% |
Unspecified | 2 | 11% |
Researcher | 2 | 11% |
Student > Master | 1 | 5% |
Other | 1 | 5% |
Unknown | 6 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 16% |
Unspecified | 2 | 11% |
Business, Management and Accounting | 2 | 11% |
Engineering | 2 | 11% |
Immunology and Microbiology | 1 | 5% |
Other | 1 | 5% |
Unknown | 8 | 42% |