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 |
Coded Illumination and Imaging for Fluorescence Based Classification
|
---|---|
Chapter number | 31 |
Book title |
Computer Vision – ECCV 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01237-3_31 |
Book ISBNs |
978-3-03-001236-6, 978-3-03-001237-3
|
Authors |
Yuta Asano, Misaki Meguro, Chao Wang, Antony Lam, Yinqiang Zheng, Takahiro Okabe, Imari Sato, Asano, Yuta, Meguro, Misaki, Wang, Chao, Lam, Antony, Zheng, Yinqiang, Okabe, Takahiro, Sato, Imari |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 83 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 17% |
Researcher | 10 | 12% |
Student > Master | 10 | 12% |
Student > Doctoral Student | 4 | 5% |
Student > Postgraduate | 3 | 4% |
Other | 8 | 10% |
Unknown | 34 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 38 | 46% |
Engineering | 6 | 7% |
Economics, Econometrics and Finance | 1 | 1% |
Agricultural and Biological Sciences | 1 | 1% |
Materials Science | 1 | 1% |
Other | 1 | 1% |
Unknown | 35 | 42% |