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Mendeley readers
Chapter title |
Learning an Infant Body Model from RGB-D Data for Accurate Full Body Motion Analysis
|
---|---|
Chapter number | 89 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00928-1_89 |
Book ISBNs |
978-3-03-000927-4, 978-3-03-000928-1
|
Authors |
Nikolas Hesse, Sergi Pujades, Javier Romero, Michael J. Black, Christoph Bodensteiner, Michael Arens, Ulrich G. Hofmann, Uta Tacke, Mijna Hadders-Algra, Raphael Weinberger, Wolfgang Müller-Felber, A. Sebastian Schroeder, Hesse, Nikolas, Pujades, Sergi, Romero, Javier, Black, Michael J., Bodensteiner, Christoph, Arens, Michael, Hofmann, Ulrich G., Tacke, Uta, Hadders-Algra, Mijna, Weinberger, Raphael, Müller-Felber, Wolfgang, Sebastian Schroeder, A. |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 62 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 29% |
Researcher | 11 | 18% |
Student > Bachelor | 10 | 16% |
Student > Master | 7 | 11% |
Student > Doctoral Student | 3 | 5% |
Other | 2 | 3% |
Unknown | 11 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 26 | 42% |
Engineering | 13 | 21% |
Medicine and Dentistry | 3 | 5% |
Psychology | 2 | 3% |
Mathematics | 2 | 3% |
Other | 5 | 8% |
Unknown | 11 | 18% |