↓ Skip to main content

Intelligent Computer Mathematics

Overview of attention for book
Cover of 'Intelligent Computer Mathematics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 DeepAlgebra - An Outline of a Program
  3. Altmetric Badge
    Chapter 2 Formalizing Mathematical Knowledge as a Biform Theory Graph: A Case Study
  4. Altmetric Badge
    Chapter 3 The Formalization of Vickrey Auctions: A Comparison of Two Approaches in Isabelle and Theorema
  5. Altmetric Badge
    Chapter 4 Automatically Proving Equivalence by Type-Safe Reflection
  6. Altmetric Badge
    Chapter 5 The Global Digital Mathematics Library and the International Mathematical Knowledge Trust
  7. Altmetric Badge
    Chapter 6 The New Numdam Platform
  8. Altmetric Badge
    Chapter 7 Classification of Alignments Between Concepts of Formal Mathematical Systems
  9. Altmetric Badge
    Chapter 8 Software Citations, Information Systems, and Beyond
  10. Altmetric Badge
    Chapter 9 Semantic Preserving Bijective Mappings of Mathematical Formulae Between Document Preparation Systems and Computer Algebra Systems
  11. Altmetric Badge
    Chapter 10 Towards Mathematical AI via a Model of the Content and Process of Mathematical Question and Answer Dialogues
  12. Altmetric Badge
    Chapter 11 Theory Morphisms in Church’s Type Theory with Quotation and Evaluation
  13. Altmetric Badge
    Chapter 12 Semantic Representation of General Topology in the Wolfram Language
  14. Altmetric Badge
    Chapter 13 Zeta Types and Tannakian Symbols as a Method for Representing Mathematical Knowledge
  15. Altmetric Badge
    Chapter 14 Presentation and Manipulation of Mizar Properties in an Isabelle Object Logic
  16. Altmetric Badge
    Chapter 15 Visual Structure in Mathematical Expressions
  17. Altmetric Badge
    Chapter 16 Mathematical Models as Research Data via Flexiformal Theory Graphs
  18. Altmetric Badge
    Chapter 17 A Verified Algorithm Enumerating Event Structures
  19. Altmetric Badge
    Chapter 18 Reasoning with Concept Diagrams About Antipatterns in Ontologies
  20. Altmetric Badge
    Chapter 19 A Web-Based Toolkit for Mathematical Word Processing Applications with Semantics
  21. Altmetric Badge
    Chapter 20 ENIGMA: Efficient Learning-Based Inference Guiding Machine
  22. Altmetric Badge
    Chapter 21 Proof Mining with Dependent Types
  23. Altmetric Badge
    Chapter 22 Formalization of Transform Methods Using HOL Light
  24. Altmetric Badge
    Chapter 23 Combining Refinement and Signal-Temporal Logic for Biological Systems
  25. Altmetric Badge
    Chapter 24 VMEXT: A Visualization Tool for Mathematical Expression Trees
  26. Altmetric Badge
    Chapter 25 Part-of-Math Tagging and Applications
Attention for Chapter 24: VMEXT: A Visualization Tool for Mathematical Expression Trees
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
13 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.
Chapter title
VMEXT: A Visualization Tool for Mathematical Expression Trees
Chapter number 24
Book title
Intelligent Computer Mathematics
Published in
Lecture notes in computer science, June 2017
DOI 10.1007/978-3-319-62075-6_24
Book ISBNs
978-3-31-962074-9, 978-3-31-962075-6
Authors

Moritz Schubotz, Norman Meuschke, Thomas Hepp, Howard S. Cohl, Bela Gipp, Schubotz, Moritz, Meuschke, Norman, Hepp, Thomas, Cohl, Howard S., Gipp, Bela

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 15%
Professor > Associate Professor 2 15%
Student > Ph. D. Student 2 15%
Student > Doctoral Student 1 8%
Student > Bachelor 1 8%
Other 2 15%
Unknown 3 23%
Readers by discipline Count As %
Computer Science 8 62%
Earth and Planetary Sciences 1 8%
Economics, Econometrics and Finance 1 8%
Unknown 3 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 July 2017.
All research outputs
#15,469,838
of 22,988,380 outputs
Outputs from Lecture notes in computer science
#4,662
of 8,145 outputs
Outputs of similar age
#198,652
of 315,500 outputs
Outputs of similar age from Lecture notes in computer science
#73
of 136 outputs
Altmetric has tracked 22,988,380 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,145 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 315,500 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.