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X Demographics
Mendeley readers
Chapter title |
Learning Lagrangian Fluid Mechanics with E(3)-Equivariant Graph Neural Networks
|
---|---|
Chapter number | 35 |
Book title |
Geometric Science of Information
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Published by |
Springer, Cham, January 2023
|
DOI | 10.1007/978-3-031-38299-4_35 |
Book ISBNs |
978-3-03-138298-7, 978-3-03-138299-4
|
Authors |
Toshev, Artur P., Galletti, Gianluca, Brandstetter, Johannes, Adami, Stefan, Adams, Nikolaus A. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 2 | 33% |
Canada | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 1 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
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 % |
---|---|---|
Professor | 3 | 30% |
Researcher | 1 | 10% |
Student > Doctoral Student | 1 | 10% |
Unknown | 5 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 20% |
Mathematics | 1 | 10% |
Medicine and Dentistry | 1 | 10% |
Physics and Astronomy | 1 | 10% |
Unknown | 5 | 50% |