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X Demographics
Mendeley readers
Chapter title |
Biological Indexes Based Reflectional Asymmetry for Classifying Cutaneous Lesions
|
---|---|
Chapter number | 16 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
|
Published by |
Springer Berlin Heidelberg, September 2011
|
DOI | 10.1007/978-3-642-23626-6_16 |
Book ISBNs |
978-3-64-223625-9, 978-3-64-223626-6
|
Authors |
Zhao Liu, Lyndon Smith, Jiuai Sun, Melvyn Smith, Robert Warr |
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 % |
---|---|---|
Unknown | 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 4% |
United Arab Emirates | 1 | 4% |
Unknown | 22 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 25% |
Student > Doctoral Student | 4 | 17% |
Other | 3 | 13% |
Researcher | 3 | 13% |
Professor > Associate Professor | 3 | 13% |
Other | 4 | 17% |
Unknown | 1 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 33% |
Medicine and Dentistry | 6 | 25% |
Engineering | 5 | 21% |
Social Sciences | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Other | 0 | 0% |
Unknown | 3 | 13% |