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Mendeley readers
Chapter title |
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference
|
---|---|
Chapter number | 53 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32251-9_53 |
Book ISBNs |
978-3-03-032250-2, 978-3-03-032251-9
|
Authors |
Christian Wachinger, Benjamin Gutierrez Becker, Anna Rieckmann, Sebastian Pölsterl, Wachinger, Christian, Becker, Benjamin Gutierrez, Rieckmann, Anna, Pölsterl, Sebastian |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 41 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 32% |
Student > Master | 7 | 17% |
Researcher | 4 | 10% |
Student > Bachelor | 3 | 7% |
Lecturer | 3 | 7% |
Other | 3 | 7% |
Unknown | 8 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 16 | 39% |
Neuroscience | 6 | 15% |
Engineering | 5 | 12% |
Biochemistry, Genetics and Molecular Biology | 2 | 5% |
Medicine and Dentistry | 1 | 2% |
Other | 1 | 2% |
Unknown | 10 | 24% |