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Data Driven e-Science

Overview of attention for book
Cover of 'Data Driven e-Science'

Table of Contents

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    Book Overview
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    Chapter 1 Asia Federation Report on International Symposium on Grid Computing (ISGC) 2010
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    Chapter 2 Roadmap for the Uptake of the e-Infrastructure in the Asia-Pacific Region
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    Chapter 3 Uptakes of e-Science in Asia
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    Chapter 4 EU-IndiaGrid2 Sustainable e-Infrastructures across Europe and India
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    Chapter 5 Pathway to Support the Sustainable National Health Information System
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    Chapter 6 TERENA eScience PKI
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    Chapter 7 SEE-GRID eInfrastructure for Regional eScience
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    Chapter 8 Peer-to-peer Cooperative Scheduling Architecture for National Grid Infrastructure
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    Chapter 9 The EUAsiaGrid Roadmap Paths to a Sustainable, Persistent e-Infrastructure in the Asia-Pacific Region
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    Chapter 10 From EGEE Operations Portal towards EGI Operations Portal
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    Chapter 11 Kolkata Tier-2 Centre: Administration and Installation
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    Chapter 12 Performance Analysis of EGEE-like Grids in Asia and Latin America
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    Chapter 13 GOCDB4, a New Architecture for the European Grid Infrastructure
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    Chapter 14 An APEL Tool Based CPU Usage Accounting Infrastructure for Large Scale Computing Grids
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    Chapter 15 HLRmon, a Tool for Advanced Visualization of Resource Utilization
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    Chapter 16 Interoperating AliEn and ARC for a Distributed Tier1 in the Nordic Countries
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    Chapter 17 Toward SVOPME, a Scalable Virtual Organization Privileges Management Environment
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    Chapter 18 The D4Science Approach toward Grid Resource Sharing: The Species Occurrence Maps Generation Case
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    Chapter 19 An Efficient Grid Data Access with StoRM
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    Chapter 20 Design and Implementation of a Multi-Grid Resource Broker for Grid Computing
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    Chapter 21 The Quality in Quantity - Enhancing Text-based Research -
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    Chapter 22 Grid Application Meta-Repository System: Repository Interconnectivity and Cross-domain Application Usage in Distributed Computing Environments
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    Chapter 23 Integration of Cloud and Grid Middleware at D-Grid Resource Center Ruhr
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    Chapter 24 Distributed Parametric Optimization with the Geneva Library
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    Chapter 25 Determining Overhead, Variance & Isolation Metrics in Virtualization for IaaS Cloud
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    Chapter 26 Analyzing the Applicability of Airline Booking Systems for Cloud Computing Offerings
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    Chapter 27 Grid Computing Operations for the CMS Experiment at the GRIF Tier-2
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    Chapter 28 From the CMS Computing Experience in the WLCG STEP’09 Challenge to the First Data Taking of the LHC Era
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    Chapter 29 First Experiences with CMS Data Storage on the GEMSS System at the INFN-CNAF Tier-1
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    Chapter 30 GENESIS Social Simulation
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    Chapter 31 A Grid Application on Climate Change in EUAsiaGrid
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    Chapter 32 Lessons Learned in Thailand from 2004 Tsunami
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    Chapter 33 Efficient Bulk Data Replication for the EarthSystem Grid
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    Chapter 34 Grid Computing for Disaster Mitigation
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    Chapter 35 Applicability of Free Energy Calculations Using High–Throughput Grid Approach
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    Chapter 36 Grid Computing for Bioinformatics: An Implementation of a User-Friendly Web Portal for ASTI's In Silico Laboratory
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    Chapter 37 Grid Computing Technology and the Recurrence Quantification Analysis to Predict Seizure Occurrence in Patients Affected by Drug-Resistant Epilepsy
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    Chapter 38 Construction of the Platform for Phylogenetic Analysis
Overall attention for this book and its chapters
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Mentioned by

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Citations

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Readers on

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16 Mendeley
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Title
Data Driven e-Science
Published by
ADS, February 2011
DOI 10.1007/978-1-4419-8014-4
ISBNs
978-1-4419-8013-7, 978-1-4419-8014-4
Editors

Lin, Simon C., Yen, Eric

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Brazil 1 6%
Unknown 14 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 19%
Researcher 3 19%
Student > Bachelor 2 13%
Student > Ph. D. Student 2 13%
Professor 2 13%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 10 63%
Business, Management and Accounting 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Social Sciences 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 March 2012.
All research outputs
#15,504,780
of 23,041,514 outputs
Outputs from ADS
#28,290
of 37,451 outputs
Outputs of similar age
#143,335
of 184,267 outputs
Outputs of similar age from ADS
#670
of 812 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 184,267 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 812 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.