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Timeline
X Demographics
Mendeley readers
Title |
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma
|
---|---|
Published in |
Frontiers in Artificial Intelligence, October 2020
|
DOI | 10.3389/frai.2020.550890 |
Pubmed ID | |
Authors |
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 33% |
Unknown | 2 | 67% |
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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 14% |
Student > Master | 4 | 14% |
Student > Bachelor | 3 | 10% |
Student > Ph. D. Student | 3 | 10% |
Student > Postgraduate | 2 | 7% |
Other | 1 | 3% |
Unknown | 12 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 31% |
Computer Science | 4 | 14% |
Engineering | 4 | 14% |
Physics and Astronomy | 1 | 3% |
Chemistry | 1 | 3% |
Other | 1 | 3% |
Unknown | 9 | 31% |