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Mendeley readers
Chapter title |
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions
|
---|---|
Chapter number | 2 |
Book title |
Artificial Intelligence in Medicine
|
Published by |
Springer, Cham, August 2020
|
DOI | 10.1007/978-3-030-59137-3_2 |
Book ISBNs |
978-3-03-059136-6, 978-3-03-059137-3
|
Authors |
Tingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson, Jessica K. De Freitas, Fayzan F. Chaudhry, Akhil Vaid, Shan Zhao, Riccardo Miotto, Girish N. Nadkarni, Fei Wang, Justin Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg, Wanyan, Tingyi, Kang, Martin, Badgeley, Marcus A., Johnson, Kipp W., Freitas, Jessica K. De, Chaudhry, Fayzan F., Vaid, Akhil, Zhao, Shan, Miotto, Riccardo, Nadkarni, Girish N., Wang, Fei, Rousseau, Justin, Azad, Ariful, Ding, Ying, Glicksberg, Benjamin S. |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 15% |
Student > Doctoral Student | 3 | 12% |
Student > Bachelor | 3 | 12% |
Student > Master | 2 | 8% |
Researcher | 2 | 8% |
Other | 2 | 8% |
Unknown | 10 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 27% |
Medicine and Dentistry | 4 | 15% |
Agricultural and Biological Sciences | 2 | 8% |
Philosophy | 1 | 4% |
Business, Management and Accounting | 1 | 4% |
Other | 2 | 8% |
Unknown | 9 | 35% |