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Mendeley readers
Chapter title |
TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-Rays
|
---|---|
Chapter number | 62 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00934-2_62 |
Book ISBNs |
978-3-03-000933-5, 978-3-03-000934-2
|
Authors |
Jonathan Laserson, Christine Dan Lantsman, Michal Cohen-Sfady, Itamar Tamir, Eli Goz, Chen Brestel, Shir Bar, Maya Atar, Eldad Elnekave |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 78 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 21% |
Researcher | 15 | 19% |
Student > Master | 10 | 13% |
Student > Bachelor | 4 | 5% |
Other | 4 | 5% |
Other | 7 | 9% |
Unknown | 22 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 25 | 32% |
Engineering | 14 | 18% |
Medicine and Dentistry | 6 | 8% |
Agricultural and Biological Sciences | 2 | 3% |
Physics and Astronomy | 2 | 3% |
Other | 3 | 4% |
Unknown | 26 | 33% |