↓ Skip to main content

Datalog Reloaded

Overview of attention for book
Cover of 'Datalog Reloaded'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Datalog-Based Program Analysis with BES and RWL
  3. Altmetric Badge
    Chapter 2 Datalog for Security, Privacy and Trust
  4. Altmetric Badge
    Chapter 3 Answer Set Modules for Logical Agents
  5. Altmetric Badge
    Chapter 4 Datalog Reloaded
  6. Altmetric Badge
    Chapter 5 Datalog Programs and Their Stable Models
  7. Altmetric Badge
    Chapter 6 Exploiting Bounded Treewidth with Datalog (A Survey)
  8. Altmetric Badge
    Chapter 7 Equivalence between Extended Datalog Programs — A Brief Survey
  9. Altmetric Badge
    Chapter 8 Cluster Computing, Recursion and Datalog
  10. Altmetric Badge
    Chapter 9 Datalog-Related Aspects in Lixto Visual Developer
  11. Altmetric Badge
    Chapter 10 Informing Datalog through Language Intelligence – A Personal Perspective
  12. Altmetric Badge
    Chapter 11 Dyna: Extending Datalog for Modern AI
  13. Altmetric Badge
    Chapter 12 Datalog for the Web 2.0: The Case of Social Network Data Management
  14. Altmetric Badge
    Chapter 13 Context Modelling and Context-Aware Querying
  15. Altmetric Badge
    Chapter 14 Using Datalog for Fast and Easy Program Analysis
  16. Altmetric Badge
    Chapter 15 Distributed Datalog Revisited
  17. Altmetric Badge
    Chapter 16 Dedalus : Datalog in Time and Space
  18. Altmetric Badge
    Chapter 17 The Disjunctive Datalog System DLV
  19. Altmetric Badge
    Chapter 18 Datalog as a Query Language for Data Exchange Systems
  20. Altmetric Badge
    Chapter 19 Datalog Relaunched: Simulation Unification and Value Invention
  21. Altmetric Badge
    Chapter 20 Datalog+/-: A Family of Languages for Ontology Querying
  22. Altmetric Badge
    Chapter 21 Knowledge Representation Language P-Log – A Short Introduction
  23. Altmetric Badge
    Chapter 22 Living with Inconsistency and Taming Nonmonotonicity
Attention for Chapter 5: Datalog Programs and Their Stable Models
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
2 Wikipedia pages

Readers on

mendeley
8 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
Datalog Programs and Their Stable Models
Chapter number 5
Book title
Datalog Reloaded
Published in
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-642-24206-9_5
Book ISBNs
978-3-64-224205-2, 978-3-64-224206-9
Authors

Vladimir Lifschitz, Lifschitz, Vladimir

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Student > Ph. D. Student 1 13%
Other 1 13%
Researcher 1 13%
Professor > Associate Professor 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Computer Science 4 50%
Mathematics 1 13%
Agricultural and Biological Sciences 1 13%
Unknown 2 25%
Attention Score in Context

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 28 April 2019.
All research outputs
#7,453,126
of 22,785,242 outputs
Outputs from Lecture notes in computer science
#2,485
of 8,124 outputs
Outputs of similar age
#125,533
of 396,667 outputs
Outputs of similar age from Lecture notes in computer science
#239
of 513 outputs
Altmetric has tracked 22,785,242 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% 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 396,667 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 56% of its contemporaries.
We're also able to compare this research output to 513 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.