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X Demographics
Mendeley readers
Chapter title |
Labelling Imaging Datasets on the Basis of Neuroradiology Reports: A Validation Study
|
---|---|
Chapter number | 27 |
Book title |
Interpretable and Annotation-Efficient Learning for Medical Image Computing
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-61166-8_27 |
Book ISBNs |
978-3-03-061165-1, 978-3-03-061166-8
|
Authors |
David A. Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Jeremy Lynch, Matthew Townend, Antanas Montvila, Juveria Siddiqui, Naveen Gadapa, Matthew Benger, Gareth Barker, Sebastian Ourselin, James H. Cole, Thomas C. Booth, Wood, DA, Kafiabadi, S, Al Busaidi, A, Guilhem, E, Lynch, J, Townend, M, Montvila, A, Siddiqui, J, Gadapa, N, Benger, M, Barker, G, Ourselin, S, Cole, JH, Booth, TC, Wood, David A., Kafiabadi, Sina, Al Busaidi, Aisha, Guilhem, Emily, Lynch, Jeremy, Townend, Matthew, Montvila, Antanas, Siddiqui, Juveria, Gadapa, Naveen, Benger, Matthew, Barker, Gareth, Ourselin, Sebastian, Cole, James H., Booth, Thomas C. |
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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 29% |
Student > Master | 2 | 14% |
Student > Bachelor | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Unspecified | 1 | 7% |
Other | 0 | 0% |
Unknown | 5 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 21% |
Unspecified | 1 | 7% |
Biochemistry, Genetics and Molecular Biology | 1 | 7% |
Agricultural and Biological Sciences | 1 | 7% |
Social Sciences | 1 | 7% |
Other | 2 | 14% |
Unknown | 5 | 36% |