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Graph-Based Representation and Reasoning

Overview of attention for book
Cover of 'Graph-Based Representation and Reasoning'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Modular Ontologies as a Bridge Between Human Conceptualization and Data
  3. Altmetric Badge
    Chapter 2 Using Analogical Complexes to Improve Human Reasoning and Decision Making in Electronic Health Record Systems
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    Chapter 3 An Efficient Approximation of Concept Stability Using Low-Discrepancy Sampling
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    Chapter 4 Lifted Most Probable Explanation
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    Chapter 5 Lifted Dynamic Junction Tree Algorithm
  7. Altmetric Badge
    Chapter 6 Defining Argumentation Attacks in Practice: An Experiment in Food Packaging Consumer Expectations
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    Chapter 7 Empirically Evaluating the Similarity Model of Geist, Lengnink and Wille
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    Chapter 8 Combining and Contrasting Formal Concept Analysis and APOS Theory
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    Chapter 9 Musical Descriptions Based on Formal Concept Analysis and Mathematical Morphology
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    Chapter 10 Towards Collaborative Conceptual Exploration
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    Chapter 11 A Visual Analytics Technique for Exploring Gene Expression in the Developing Mouse Embryo
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    Chapter 12 Exploring Heterogeneous Sequential Data on River Networks with Relational Concept Analysis
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    Chapter 13 Conceptual Graphs Based Modeling of Semi-structured Data
  15. Altmetric Badge
    Chapter 14 Using Conceptual Structures in Enterprise Architecture to Develop a New Way of Thinking and Working for Organisations
  16. Altmetric Badge
    Chapter 15 Visualizing Conceptual Structures Using FCA Tools Bundle
  17. Altmetric Badge
    Chapter 16 Node-Link Diagrams as Lenses for Organizational Knowledge Sharing on a Social Business Platform
Attention for Chapter 10: Towards Collaborative Conceptual Exploration
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

9 tweeters

Readers on

3 Mendeley
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Chapter title
Towards Collaborative Conceptual Exploration
Chapter number 10
Book title
Graph-Based Representation and Reasoning
Published in
arXiv, June 2018
DOI 10.1007/978-3-319-91379-7_10
Book ISBNs
978-3-31-991378-0, 978-3-31-991379-7

Tom Hanika, Jens Zumbrägel

Twitter Demographics

The data shown below were collected from the profiles of 9 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Bachelor 1 33%
Researcher 1 33%
Readers by discipline Count As %
Computer Science 3 100%

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 26 March 2018.
All research outputs
of 13,451,589 outputs
Outputs from arXiv
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Outputs of similar age
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Outputs of similar age from arXiv
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Altmetric has tracked 13,451,589 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 525,279 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 79% 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 386,378 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 60% of its contemporaries.
We're also able to compare this research output to 23,600 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.