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Conceptual Structures for STEM Research and Education

Overview of attention for book
Cover of 'Conceptual Structures for STEM Research and Education'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Conceptual Structures for STEM Data
  3. Altmetric Badge
    Chapter 2 Relating Language to Perception, Action, and Feelings
  4. Altmetric Badge
    Chapter 3 PurposeNet: A Knowledge Base Organized around Purpose
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    Chapter 4 Classical Syllogisms in Logic Teaching
  6. Altmetric Badge
    Chapter 5 A Model to Compare and Manipulate Situations Represented as Semantically Labeled Graphs
  7. Altmetric Badge
    Chapter 6 Analyzing Clusters and Constellations from Untwisting Shortened Links on Twitter Using Conceptual Graphs
  8. Altmetric Badge
    Chapter 7 Taking SPARQL 1.1 Extensions into Account in the SWIP System
  9. Altmetric Badge
    Chapter 8 System Architecture to Implement a Conceptual Graphs Storage in an RDF Quad Store
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    Chapter 9 Medical Archetypes and Information Extraction Templates in Automatic Processing of Clinical Narratives
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    Chapter 10 Using Conceptual Structures in the Design of Computer-Based Assessment Software
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    Chapter 11 Modeling Ontological Structures with Type Classes in Coq
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    Chapter 12 Parse Thicket Representation for Multi-sentence Search
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    Chapter 13 FCA-Based Models and a Prototype Data Analysis System for Crowdsourcing Platforms
  15. Altmetric Badge
    Chapter 14 Toward a Peircean Theory of Human Learning: Revealing the Misconception of Belief Revision
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    Chapter 15 FOLE: The First-order Logical Environment
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    Chapter 16 Designing Learning to Research the Formal Concept Analysis of Transactional Data
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    Chapter 17 Cross-Domain Inference Using Conceptual Graphs in Context of Laws of Science
  19. Altmetric Badge
    Chapter 18 Summarizing Conceptual Graphs for Automatic Summarization Task
  20. Altmetric Badge
    Chapter 19 Logical Form vs. Logical Form: How Does the Difference Matter for Semantic Computationality?
  21. Altmetric Badge
    Chapter 20 Model for Knowledge Representation of Multidimensional Measurements Processing Results in the Environment of Intelligent GIS
  22. Altmetric Badge
    Chapter 21 Transformation of SBVR Business Rules to UML Class Model
  23. Altmetric Badge
    Chapter 22 Representation of the Event Bush Approach in Terms of Directed Hypergraphs
  24. Altmetric Badge
    Chapter 23 Concept Lattices of a Relational Structure
  25. Altmetric Badge
    Chapter 24 Representing Median Networks with Concept Lattices
  26. Altmetric Badge
    Chapter 25 Txt2vz: A New Tool for Generating Graph Clouds
Attention for Chapter 12: Parse Thicket Representation for Multi-sentence Search
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

patent
2 patents
wikipedia
1 Wikipedia page

Citations

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6 Dimensions

Readers on

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6 Mendeley
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Chapter title
Parse Thicket Representation for Multi-sentence Search
Chapter number 12
Book title
Conceptual Structures for STEM Research and Education
Published in
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-35786-2_12
Book ISBNs
978-3-64-235785-5, 978-3-64-235786-2
Authors

Boris A. Galitsky, Sergei O. Kuznetsov, Daniel Usikov, Galitsky, Boris A., Kuznetsov, Sergei O., Usikov, Daniel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Professor > Associate Professor 1 17%
Researcher 1 17%
Student > Master 1 17%
Readers by discipline Count As %
Computer Science 5 83%
Unknown 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 09 May 2023.
All research outputs
#4,740,510
of 22,962,258 outputs
Outputs from Lecture notes in computer science
#1,575
of 8,137 outputs
Outputs of similar age
#51,538
of 283,677 outputs
Outputs of similar age from Lecture notes in computer science
#60
of 311 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,137 research outputs from this source. They receive a mean Attention Score of 5.0. 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 283,677 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 79% of its contemporaries.
We're also able to compare this research output to 311 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.