You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Pulmonary Nodule Classification Based on Nodule Retrieval from 3-D Thoracic CT Image Database
|
---|---|
Chapter number | 102 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004
|
Published by |
Springer, Berlin, Heidelberg, September 2004
|
DOI | 10.1007/978-3-540-30136-3_102 |
Book ISBNs |
978-3-54-022977-3, 978-3-54-030136-3
|
Authors |
Yoshiki Kawata, Noboru Niki, Hironobu Ohmatsu, Masahiko Kusumoto, Ryutaro Kakinuma, Kouzo Yamada, Kiyoshi Mori, Hiroyuki Nishiyama, Kenji Eguchi, Masahiro Kaneko, N. Moriyama |
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 % |
---|---|---|
Japan | 1 | 5% |
Unknown | 18 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 47% |
Researcher | 3 | 16% |
Student > Master | 2 | 11% |
Professor | 1 | 5% |
Lecturer > Senior Lecturer | 1 | 5% |
Other | 1 | 5% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 37% |
Medicine and Dentistry | 4 | 21% |
Engineering | 2 | 11% |
Neuroscience | 1 | 5% |
Immunology and Microbiology | 1 | 5% |
Other | 0 | 0% |
Unknown | 4 | 21% |