Report for: Heterogeneity, High Performance Computing, Self-Organization and the Cloud

Title	Heterogeneity, High Performance Computing, Self-Organization and the Cloud
Published by	Springer International Publishing, April 2018
DOI	10.1007/978-3-319-76038-4
ISBNs	978-3-31-976037-7, 978-3-31-976038-4

Timeline

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
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Type	Count	As %
Members of the public	6	60%
Scientists	4	40%

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Country	Count	As %
Unknown	29	100%

Readers by professional status	Count	As %
Lecturer	4	14%
Student > Ph. D. Student	4	14%
Professor > Associate Professor	3	10%
Student > Bachelor	3	10%
Researcher	3	10%
Other	3	10%
Unknown	9	31%

Readers by discipline	Count	As %
Economics, Econometrics and Finance	3	10%
Computer Science	3	10%
Engineering	3	10%
Linguistics	2	7%
Social Sciences	2	7%
Other	5	17%
Unknown	11	38%

Heterogeneity, High Performance Computing, Self-Organization and the Cloud