You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Enhancing Energy Production with Exascale HPC Methods
|
---|---|
Chapter number | 17 |
Book title |
High Performance Computing
|
Published by |
Springer, Cham, August 2016
|
DOI | 10.1007/978-3-319-57972-6_17 |
Book ISBNs |
978-3-31-957971-9, 978-3-31-957972-6
|
Authors |
Rafael Mayo-García, José J. Camata, José M. Cela, Danilo Costa, Alvaro L. G. A. Coutinho, Daniel Fernández-Galisteo, Carmen Jiménez, Vadim Kourdioumov, Marta Mattoso, Thomas Miras, José A. Moríñigo, Jorge Navarro, Philippe O. A. Navaux, Daniel de Oliveira, Manuel Rodríguez-Pascual, Vítor Silva, Renan Souza, Patrick Valduriez |
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 % |
---|---|---|
Researcher | 4 | 40% |
Student > Ph. D. Student | 2 | 20% |
Student > Doctoral Student | 1 | 10% |
Unknown | 3 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 40% |
Energy | 1 | 10% |
Engineering | 1 | 10% |
Unknown | 4 | 40% |