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X Demographics
Mendeley readers
Title |
Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting
|
---|---|
Published by |
Springer International Publishing, January 2019
|
DOI | 10.1007/978-3-030-33327-0 |
ISBNs |
978-3-03-033326-3, 978-3-03-033327-0
|
Editors |
Hongen Liao, Simone Balocco, Guijin Wang, Feng Zhang, Yongpan Liu, Zijian Ding, Luc Duong, Renzo Phellan, Guillaume Zahnd, Katharina Breininger, Shadi Albarqouni, Stefano Moriconi, Su-Lin Lee, Stefanie Demirci |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 50% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 35% |
Student > Master | 5 | 15% |
Student > Postgraduate | 2 | 6% |
Researcher | 2 | 6% |
Student > Bachelor | 1 | 3% |
Other | 1 | 3% |
Unknown | 11 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 9 | 26% |
Computer Science | 8 | 24% |
Mathematics | 2 | 6% |
Agricultural and Biological Sciences | 2 | 6% |
Medicine and Dentistry | 2 | 6% |
Other | 1 | 3% |
Unknown | 10 | 29% |