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Mendeley readers
Chapter title |
Automated Enriched Medical Concept Generation for Chest X-ray Images
|
---|---|
Chapter number | 10 |
Book title |
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-33850-3_10 |
Book ISBNs |
978-3-03-033849-7, 978-3-03-033850-3
|
Authors |
Aydan Gasimova, Gasimova, Aydan |
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 > Master | 5 | 26% |
Lecturer | 2 | 11% |
Student > Bachelor | 2 | 11% |
Professor | 1 | 5% |
Student > Ph. D. Student | 1 | 5% |
Other | 1 | 5% |
Unknown | 7 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 32% |
Philosophy | 1 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Earth and Planetary Sciences | 1 | 5% |
Medicine and Dentistry | 1 | 5% |
Other | 1 | 5% |
Unknown | 8 | 42% |