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X Demographics
Mendeley readers
Chapter title |
Benign and Malignant Skin Lesion Classification Comparison for Three Deep-Learning Architectures
|
---|---|
Chapter number | 44 |
Book title |
Intelligent Information and Database Systems
|
Published by |
Springer, Cham, March 2020
|
DOI | 10.1007/978-3-030-41964-6_44 |
Book ISBNs |
978-3-03-041963-9, 978-3-03-041964-6
|
Authors |
Ercument Yilmaz, Maria Trocan, Yilmaz, Ercument, Trocan, Maria |
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 % |
---|---|---|
Turkey | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 13% |
Student > Master | 2 | 9% |
Student > Bachelor | 1 | 4% |
Unspecified | 1 | 4% |
Lecturer > Senior Lecturer | 1 | 4% |
Other | 1 | 4% |
Unknown | 14 | 61% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 13% |
Engineering | 2 | 9% |
Medicine and Dentistry | 1 | 4% |
Unspecified | 1 | 4% |
Unknown | 16 | 70% |