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X Demographics
Mendeley readers
Chapter title |
CIRDataset: A Large-Scale Dataset for Clinically-Interpretable Lung Nodule Radiomics and Malignancy Prediction
|
---|---|
Chapter number | 2 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-16443-9_2 |
Pubmed ID | |
Book ISBNs |
978-3-03-116442-2, 978-3-03-116443-9
|
Authors |
Choi, Wookjin, Dahiya, Navdeep, Nadeem, Saad |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 1 | 10% |
Student > Doctoral Student | 1 | 10% |
Student > Master | 1 | 10% |
Unknown | 7 | 70% |
Readers by discipline | Count | As % |
---|---|---|
Physics and Astronomy | 1 | 10% |
Engineering | 1 | 10% |
Unknown | 8 | 80% |