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Mendeley readers
Chapter title |
Declarative Big Data Analysis for High-Energy Physics: TOTEM Use Case
|
---|---|
Chapter number | 18 |
Book title |
Euro-Par 2019: Parallel Processing
|
Published by |
Springer, Cham, August 2019
|
DOI | 10.1007/978-3-030-29400-7_18 |
Book ISBNs |
978-3-03-029399-4, 978-3-03-029400-7
|
Authors |
Valentina Avati, Milosz Blaszkiewicz, Enrico Bocchi, Luca Canali, Diogo Castro, Javier Cervantes, Leszek Grzanka, Enrico Guiraud, Jan Kaspar, Prasanth Kothuri, Massimo Lamanna, Maciej Malawski, Aleksandra Mnich, Jakub Moscicki, Shravan Murali, Danilo Piparo, Enric Tejedor, Avati, Valentina, Blaszkiewicz, Milosz, Bocchi, Enrico, Canali, Luca, Castro, Diogo, Cervantes, Javier, Grzanka, Leszek, Guiraud, Enrico, Kaspar, Jan, Kothuri, Prasanth, Lamanna, Massimo, Malawski, Maciej, Mnich, Aleksandra, Moscicki, Jakub, Murali, Shravan, Piparo, Danilo, Tejedor, Enric |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 38% |
Student > Master | 2 | 25% |
Student > Ph. D. Student | 1 | 13% |
Unspecified | 1 | 13% |
Unknown | 1 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 38% |
Business, Management and Accounting | 1 | 13% |
Unspecified | 1 | 13% |
Agricultural and Biological Sciences | 1 | 13% |
Chemistry | 1 | 13% |
Other | 0 | 0% |
Unknown | 1 | 13% |