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eScience on Distributed Computing Infrastructure

Overview of attention for book
Cover of 'eScience on Distributed Computing Infrastructure'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Domain-Specific Services in Polish e-Infrastructure
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    Chapter 2 National Distributed High Performance Computing Infrastructure for PL-Grid Users
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    Chapter 3 New QosCosGrid Middleware Capabilities and Its Integration with European e-Infrastructure
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    Chapter 4 Recent Advances of the Cloud Platform Delivered in the Infrastructure as a Service Model for the PL-Grid Scientific Communities
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    Chapter 5 Multilayered IT Security Requirements and Measures for the Complex Protection of Polish Domain-Specific Grid Infrastructure
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    Chapter 6 Reservations for Compute Resources in Federated e-Infrastructure
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    Chapter 7 Improving PL-Grid Operations Based on FitSM Standard
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    Chapter 8 Integrating Slurm Batch System with European and Polish Grid Infrastructures
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    Chapter 9 Towards Provisioning of Reproducible, Reviewable and Reusable In-Silico Experiments with the GridSpace2 Platform
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    Chapter 10 A Framework for Domain-Specific Science Gateways
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    Chapter 11 Easy Development and Integration of Science Gateways with Vine Toolkit
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    Chapter 12 A Lightweight Method of Metadata and Data Management with DataNet
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    Chapter 13 Uniform and Efficient Access to Data in Organizationally Distributed Environments
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    Chapter 14 Enabling Multiscale Fusion Simulations on Distributed Computing Resources
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    Chapter 15 Auxiliar Experimentorum – An Innovative Approach for Creating and Deploying Scientific Applications
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    Chapter 16 Domain-Oriented Services for High Energy Physics in Polish Computing Centers
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    Chapter 17 Services for Synchrotron Deployment and Operation
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    Chapter 18 Comprehensive Support for Chemistry Computations in PL-Grid Infrastructure
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    Chapter 19 Supercomputing Grid-Based Services for Hearing Protection and Acoustical Urban Planning, Research and Education
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    Chapter 20 Kepler-Based Workflow Environment for Astronomy
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    Chapter 21 High Performance Astrophysical Fluid Simulations Using InSilicoLab Framework
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    Chapter 22 Services for Astronomical Data Management and Sharing
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    Chapter 23 A Modern Tool for Modelling and Optimisation of Production in Underground Coal Mine
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    Chapter 24 Automatic Monitoring as a Tool for Collection of Information on Fitophenological Cycle
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    Chapter 25 Preliminary Data Classification in COMPASS Experiment Using HEP-Grid Tools
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    Chapter 26 Application of Sensitivity Analysis to Grid-Based Procedure Dedicated to Creation of SSRVE
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    Chapter 27 Optimization of Profile Extrusion Processes Using the Finite Element Method and Distributed Computing
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    Chapter 28 Adaptive Finite Element Modelling of Welding Processes
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    Chapter 29 Numerical Simulation of the Continuous Casting of Steel on a Grid Platform
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    Chapter 30 Experimental and Numerical Database of EU Research Projects Investigating Shock Wave-Boundary Layer Interaction in Transonic/Supersonic Flows
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    Chapter 31 Aerodynamic and Aero-acoustic Analysis of Helicopter Rotor Blades in Hover
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    Chapter 32 Parallelization of the Monte Carlo Static Recrystallization Model
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    Chapter 33 Convergence of Explicitly Correlated Gaussian Wave Functions
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    Chapter 34 Analysing a Power Generation Sector Using the MILP Approach
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    Chapter 35 Modelling the Long-Term Development of an Energy System with the Use of a Technology Explicit Partial Equilibrium Model
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    Chapter 36 Assessment of Environmental Impacts of Energy Scenarios Using the π ESA Platform
Overall attention for this book and its chapters
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

1 tweeter
1 Wikipedia page


10 Dimensions

Readers on

8 Mendeley
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.
eScience on Distributed Computing Infrastructure
Published by
ADS, August 2014
DOI 10.1007/978-3-319-10894-0
978-3-31-910893-3, 978-3-31-910894-0

Bubak, Marian, Kitowski, Jacek, Wiatr, Kazimierz

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

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 2 25%
Student > Master 1 13%
Student > Ph. D. Student 1 13%
Student > Bachelor 1 13%
Professor > Associate Professor 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Computer Science 2 25%
Physics and Astronomy 2 25%
Business, Management and Accounting 1 13%
Energy 1 13%
Unknown 2 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 December 2020.
All research outputs
of 16,699,900 outputs
Outputs from ADS
of 30,548 outputs
Outputs of similar age
of 284,096 outputs
Outputs of similar age from ADS
of 268 outputs
Altmetric has tracked 16,699,900 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 30,548 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 284,096 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 268 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.