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X Demographics
Mendeley readers
Chapter title |
BrainPrint : Identifying Subjects by Their Brain
|
---|---|
Chapter number | 6 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
|
Published in |
2014, September 2014
|
DOI | 10.1007/978-3-319-10443-0_6 |
Pubmed ID | |
Book ISBNs |
978-3-31-910442-3, 978-3-31-910443-0
|
Authors |
Wachinger C, Golland P, Reuter M, Christian Wachinger, Polina Golland, Martin Reuter, Wachinger, Christian, Golland, Polina, Reuter, Martin |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 40% |
Saudi Arabia | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 1 | 20% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 5% |
Germany | 1 | 2% |
Unknown | 40 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 23% |
Researcher | 5 | 12% |
Other | 4 | 9% |
Student > Master | 4 | 9% |
Professor | 3 | 7% |
Other | 8 | 19% |
Unknown | 9 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 21% |
Engineering | 7 | 16% |
Medicine and Dentistry | 4 | 9% |
Agricultural and Biological Sciences | 2 | 5% |
Neuroscience | 2 | 5% |
Other | 5 | 12% |
Unknown | 14 | 33% |