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X Demographics
Mendeley readers
Chapter title |
BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes
|
---|---|
Chapter number | 27 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-16440-8_27 |
Book ISBNs |
978-3-03-116439-2, 978-3-03-116440-8
|
Authors |
Avisdris, Netanell, Joskowicz, Leo, Dromey, Brian, David, Anna L., Peebles, Donald M., Stoyanov, Danail, Ben Bashat, Dafna, Bano, Sophia, Avisdris, N, Joskowicz, L, Dromey, B, David, AL, Peebles, DM, Stoyanov, D, Ben Bashat, D, Bano, S |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 50% |
Researcher | 1 | 17% |
Unknown | 2 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Chemical Engineering | 1 | 17% |
Computer Science | 1 | 17% |
Engineering | 1 | 17% |
Unknown | 3 | 50% |