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X Demographics
Mendeley readers
Chapter title |
Fully Automated Blind Color Deconvolution of Histopathological Images
|
---|---|
Chapter number | 21 |
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_21 |
Book ISBNs |
978-3-03-000933-5, 978-3-03-000934-2
|
Authors |
Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
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 % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 26% |
Student > Master | 3 | 16% |
Researcher | 2 | 11% |
Professor | 2 | 11% |
Student > Doctoral Student | 1 | 5% |
Other | 2 | 11% |
Unknown | 4 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 47% |
Engineering | 2 | 11% |
Medicine and Dentistry | 2 | 11% |
Mathematics | 1 | 5% |
Unknown | 5 | 26% |