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 |
Adaptive Caching for Data-Intensive Scientific Workflows in the Cloud
|
---|---|
Chapter number | 33 |
Book title |
Database and Expert Systems Applications
|
Published by |
Springer, Cham, August 2019
|
DOI | 10.1007/978-3-030-27618-8_33 |
Book ISBNs |
978-3-03-027617-1, 978-3-03-027618-8
|
Authors |
Gaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, François Tardieu, Patrick Valduriez, Heidsieck, Gaëtan, de Oliveira, Daniel, Pacitti, Esther, Pradal, Christophe, Tardieu, François, Valduriez, Patrick |
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 | 2 | 33% |
Researcher | 1 | 17% |
Unknown | 3 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 33% |
Energy | 1 | 17% |
Unknown | 3 | 50% |