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Component Deployment

Overview of attention for book
Cover of 'Component Deployment'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Tailorable Environment for Assessing the Quality of Deployment Architectures in Highly Distributed Settings
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    Chapter 2 Customizing Component-Based Architectures by Contract
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    Chapter 3 Deploying CORBA Components on a Computational Grid: General Principles and Early Experiments Using the Globus Toolkit
  5. Altmetric Badge
    Chapter 4 Asynchronous, Hierarchical, and Scalable Deployment of Component-Based Applications
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    Chapter 5 Dynamic Deployment of IIOP-Enabled Components in the JBoss Server
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    Chapter 6 A Policy-Driven Class Loader to Support Deployment in Extensible Frameworks
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    Chapter 7 MagicBeans: a Platform for Deploying Plugin Components
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    Chapter 8 Dynamic Deployment of Executing and Simulating Software Components
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    Chapter 9 Towards a Dynamic Resource Contractualisation for Software Components
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    Chapter 10 Keeping Control of Reusable Components
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    Chapter 11 Eureka – A Resource Discovery Service for Component Deployment
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    Chapter 12 Secure Deployment of Components
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    Chapter 13 JPloy: User-Centric Deployment Support in a Component Platform
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    Chapter 14 On the Performance of SOAP in a Non-trivial Peer-to-Peer Experiment
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    Chapter 15 A Flexible and Secure Deployment Framework for Distributed Applications
  17. Altmetric Badge
    Chapter 16 Deploying Agents with the CORBA Component Model
Attention for Chapter 4: Asynchronous, Hierarchical, and Scalable Deployment of Component-Based Applications
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Mentioned by

wikipedia
1 Wikipedia page

Citations

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1 Dimensions

Readers on

mendeley
3 Mendeley
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Chapter title
Asynchronous, Hierarchical, and Scalable Deployment of Component-Based Applications
Chapter number 4
Book title
Component Deployment
Published in
Lecture notes in computer science, May 2004
DOI 10.1007/978-3-540-24848-4_4
Book ISBNs
978-3-54-022059-6, 978-3-54-024848-4
Authors

Vivien Quéma, Roland Balter, Luc Bellissard, David Féliot, André Freyssinet, Serge Lacourte

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Student > Postgraduate 1 33%
Lecturer > Senior Lecturer 1 33%
Readers by discipline Count As %
Computer Science 3 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 November 2010.
All research outputs
#7,453,827
of 22,787,797 outputs
Outputs from Lecture notes in computer science
#2,486
of 8,127 outputs
Outputs of similar age
#18,706
of 57,992 outputs
Outputs of similar age from Lecture notes in computer science
#3
of 30 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% 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 57,992 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 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.