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Conceptual modeling : ER 2007 : 26th International Conference on Conceptual Modeling, Auckland, New Zealand, November 5-9, 2007 : proceedings

Overview of attention for book
Cover of 'Conceptual modeling : ER 2007 : 26th International Conference on Conceptual Modeling, Auckland, New Zealand, November 5-9, 2007 : proceedings'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Modeling Workflow Patterns from First Principles
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    Chapter 2 Heart Modeling, Computational Physiology and the IUPS Physiome Project
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    Chapter 3 Conceptual Schemas and Ontologies for Database Access: Myths and Challenges
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    Chapter 4 Conceptual Modeling - ER 2007
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    Chapter 5 Mining Hesitation Information by Vague Association Rules
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    Chapter 6 A Model Driven Modernization Approach for Automatically Deriving Multidimensional Models in Data Warehouses
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    Chapter 7 Cost-Based Fragmentation for Distributed Complex Value Databases
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    Chapter 8 From Business Models to Service-Oriented Design: A Reference Catalog Approach
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    Chapter 9 Teaching a Schema Translator to Produce O/R Views
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    Chapter 10 Building a Tool for Cost-Based Design of Object-Oriented Database Schemas
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    Chapter 11 Generic Schema Mappings
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    Chapter 12 Relational Data Tailoring Through View Composition
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    Chapter 13 On the Discovery of Preferred Work Practice Through Business Process Variants
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    Chapter 14 Towards Automated Reasoning on ORM Schemes
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    Chapter 15 From Declarative to Imperative UML/OCL Operation Specifications
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    Chapter 16 An Ontological Metamodel of Classifiers and Its Application to Conceptual Modelling and Database Design
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    Chapter 17 Handling Inconsistency of Vague Relations with Functional Dependencies
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    Chapter 18 Querying Incomplete Data with Logic Programs: ER Strikes Back
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    Chapter 19 Prioritized Preferences and Choice Constraints
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    Chapter 20 Reasoning over Extended ER Models
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    Chapter 21 On Order Dependencies for the Semantic Web
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    Chapter 22 Collection Type Constructors in Entity-Relationship Modeling
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    Chapter 23 Schema Exchange: A Template-Based Approach to Data and Metadata Translation
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    Chapter 24 A Conceptual Modeling Methodology Based on Niches and Granularity
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    Chapter 25 As We May Link: A General Metamodel for Hypermedia Systems
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    Chapter 26 A Goal Oriented Approach for Modeling and Analyzing Security Trade-Offs
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    Chapter 27 Rapid Business Process Discovery (R-BPD)
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    Chapter 28 Ontology-Driven Business Modelling: Improving the Conceptual Representation of the REA Ontology
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    Chapter 29 A Comparison of Two Approaches to Safety Analysis Based on Use Cases
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    Chapter 30 Using Unified Modeling Language for Conceptual Modelling of Knowledge-Based Systems
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    Chapter 31 Tracing the Rationale Behind UML Model Change Through Argumentation
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    Chapter 32 Exploring Alternatives for Representing and Accessing Design Knowledge About Enterprise Integration
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    Chapter 33 Mining and Re-engineering Transactional Workflows for Reliable Executions
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    Chapter 34 Cross: An OWL Wrapper for Reasoning on Relational Databases
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    Chapter 35 Augmenting Traditional Conceptual Models to Accommodate XML Structural Constructs
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    Chapter 36 VERT: A Semantic Approach for Content Search and Content Extraction in XML Query Processing
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    Chapter 37 A Conceptual Model for Multidimensional Analysis of Documents
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    Chapter 38 Automatic Hidden-Web Table Interpretation by Sibling Page Comparison
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    Chapter 39 A Fine-Grained XML Structural Comparison Approach
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    Chapter 40 Conceptual Modeling - ER 2007
Attention for Chapter 14: Towards Automated Reasoning on ORM Schemes
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

blogs
1 blog
wikipedia
1 Wikipedia page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
12 Mendeley
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Chapter title
Towards Automated Reasoning on ORM Schemes
Chapter number 14
Book title
Conceptual Modeling - ER 2007
Published in
Lecture notes in computer science, November 2007
DOI 10.1007/978-3-540-75563-0_14
Book ISBNs
978-3-54-075562-3, 978-3-54-075563-0
Authors

Mustafa Jarrar, Jarrar, Mustafa

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 25%
Student > Ph. D. Student 2 17%
Professor 1 8%
Student > Doctoral Student 1 8%
Researcher 1 8%
Other 0 0%
Unknown 4 33%
Readers by discipline Count As %
Computer Science 6 50%
Agricultural and Biological Sciences 1 8%
Engineering 1 8%
Unknown 4 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 07 September 2020.
All research outputs
#3,670,143
of 22,707,247 outputs
Outputs from Lecture notes in computer science
#861
of 8,122 outputs
Outputs of similar age
#11,305
of 77,446 outputs
Outputs of similar age from Lecture notes in computer science
#1
of 4 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,122 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 89% 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 77,446 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them