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X Demographics
Mendeley readers
Chapter title |
A Multiresolution Machine Learning Technique to Identify Exoplanets
|
---|---|
Chapter number | 4 |
Book title |
Advances in Soft Computing
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-60884-2_4 |
Book ISBNs |
978-3-03-060883-5, 978-3-03-060884-2
|
Authors |
Miguel Jara-Maldonado, Vicente Alarcon-Aquino, Roberto Rosas-Romero, Jara-Maldonado, Miguel, Alarcon-Aquino, Vicente, Rosas-Romero, Roberto |
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 % |
---|---|---|
South Africa | 1 | 17% |
Spain | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 2 | 50% |
Professor | 1 | 25% |
Unknown | 1 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 1 | 25% |
Engineering | 1 | 25% |
Unknown | 2 | 50% |