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High-Performance Modelling and Simulation for Big Data Applications

Overview of attention for book
Attention for Chapter 12: Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era
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Chapter title
Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era
Chapter number 12
Book title
Target Identification and Validation in Drug Discovery
Published by
Springer, Cham, March 2019
DOI 10.1007/978-3-030-16272-6_12
Book ISBNs
978-1-4939-9144-0, 978-1-4939-9145-7, 978-3-03-016271-9, 978-3-03-016272-6
Authors

Aleš Zamuda, Vincenzo Crescimanna, Juan C. Burguillo, Joana Matos Dias, Katarzyna Wegrzyn-Wolska, Imen Rached, Horacio González-Vélez, Roman Senkerik, Claudia Pop, Tudor Cioara, Ioan Salomie, Andrea Bracciali

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 14%
Lecturer 7 11%
Student > Doctoral Student 6 9%
Professor 5 8%
Student > Bachelor 4 6%
Other 16 25%
Unknown 18 28%
Readers by discipline Count As %
Computer Science 15 23%
Business, Management and Accounting 6 9%
Economics, Econometrics and Finance 6 9%
Engineering 5 8%
Social Sciences 3 5%
Other 5 8%
Unknown 25 38%