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Advances in Conceptual Modeling – Applications and Challenges

Overview of attention for book
Cover of 'Advances in Conceptual Modeling – Applications and Challenges'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 4th International Workshop on Semantic and Conceptual Issues in GIS (SeCoGIS 2010)
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    Chapter 2 W-Ray: A Strategy to Publish Deep Web Geographic Data
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    Chapter 3 G-Map Semantic Mapping Approach to Improve Semantic Interoperability of Distributed Geospatial Web Services
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    Chapter 4 MGsP: Extending the GsP to Support Semantic Interoperability of Geospatial Datacubes
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    Chapter 5 Range Queries over a Compact Representation of Minimum Bounding Rectangles
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    Chapter 6 A Sensor Observation Service Based on OGC Specifications for a Meteorological SDI in Galicia
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    Chapter 7 Third International Workshop on Conceptual Modelling for Life Sciences Applications (CMLSA 2010)
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    Chapter 8 Provenance Management in BioSciences
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    Chapter 9 Ontology-Based Agri-Environmental Planning for Whole Farm Plans
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    Chapter 10 First International Workshop on Conceptual Modelling of Service (CMS 2010)
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    Chapter 11 A Formal Model for Service Mediators
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    Chapter 12 Reusing Legacy Systems in a Service-Oriented Architecture: A Model-Based Analysis
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    Chapter 13 Intelligent Author Identification
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    Chapter 14 Advances in Conceptual Modeling – Applications and Challenges
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    Chapter 15 The Resource-Service-System Model for Service Science
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    Chapter 16 Third International Workshop on Active Conceptual Modeling of Learning (ACM-L 2010)
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    Chapter 17 Towards a Framework for Emergent Modeling
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    Chapter 18 When Entities Are Types: Effectively Modeling Type-Instantiation Relationships
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    Chapter 19 KBB: A Knowledge-Bundle Builder for Research Studies
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    Chapter 20 7th International Workshop on Web Information Systems Modeling (WISM 2010)
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    Chapter 21 Integration of Dialogue Patterns into the Conceptual Model of Storyboard Design
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    Chapter 22 Model-Driven Development of Multidimensional Models from Web Log Files
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    Chapter 23 Integrity Assurance for RESTful XML
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    Chapter 24 Collaboration Recommendation on Academic Social Networks
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    Chapter 25 Mining Economic Sentiment Using Argumentation Structures
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    Chapter 26 Third Workshop on Domain Engineering (DE@ER 2010)
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    Chapter 27 Evaluating Domain-Specific Modelling Solutions
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    Chapter 28 Towards a Reusable Unified Basis for Representing Business Domain Knowledge and Development Artifacts in Systems Engineering
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    Chapter 29 DaProS: A Data Property Specification Tool to Capture Scientific Sensor Data Properties
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    Chapter 30 6th International Workshop on Foundations and Practices of UML (FP-UML 2010)
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    Chapter 31 Incorporating UML Class and Activity Constructs into UEML
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    Chapter 32 Data Modeling Is Important for SOA
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    Chapter 33 Representing Collectives and Their Members in UML Conceptual Models: An Ontological Analysis
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    Chapter 34 UML Activities at Runtime
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    Chapter 35 Model-Driven Data Migration
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
2 tweeters
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
24 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.
Title
Advances in Conceptual Modeling – Applications and Challenges
Published by
Lecture notes in computer science, January 2010
DOI 10.1007/978-3-642-16385-2
ISBNs
978-3-64-216384-5, 978-3-64-216385-2
Editors

Trujillo, Juan, Dobbie, Gillian, Kangassalo, Hannu, Hartmann, Sven, Kirchberg, Markus, Rossi, Matti, Reinhartz-Berger, Iris, Zimányi, Esteban, Frasincar, Flavius

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 4%
Student > Ph. D. Student 1 4%
Student > Master 1 4%
Unknown 21 88%
Readers by discipline Count As %
Computer Science 3 13%
Unknown 21 88%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 June 2013.
All research outputs
#5,408,613
of 21,175,128 outputs
Outputs from Lecture notes in computer science
#1,878
of 8,041 outputs
Outputs of similar age
#107,547
of 392,605 outputs
Outputs of similar age from Lecture notes in computer science
#37
of 99 outputs
Altmetric has tracked 21,175,128 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,041 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 76% 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 392,605 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 72% of its contemporaries.
We're also able to compare this research output to 99 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 62% of its contemporaries.