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Rule Technologies. Research, Tools, and Applications

Overview of attention for book
Cover of 'Rule Technologies. Research, Tools, and Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Programming in Picat
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    Chapter 2 The RuleML Knowledge-Interoperation Hub
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    Chapter 3 Handling Complex Process Models Conditions Using First-Order Horn Clauses
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    Chapter 4 Business Rules Uncertainty Management with Probabilistic Relational Models
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    Chapter 5 A Declarative Semantics for a Fuzzy Logic Language Managing Similarities and Truth Degrees
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    Chapter 6 Controlling the Average Behavior of Business Rules Programs
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    Chapter 7 Bridge Rules for Reasoning in Component-Based Heterogeneous Environments
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    Chapter 8 Choreographic Compilation of Decentralized Comprehension Patterns
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    Chapter 9 Minimal Objectification and Maximal Unnesting in PSOA RuleML
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    Chapter 10 Setting Standards for Altering and Undoing Smart Contracts
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    Chapter 11 Evaluation of Logic-Based Smart Contracts for Blockchain Systems
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    Chapter 12 Blockchain Temporality: Smart Contract Time Specifiability with Blocktime
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    Chapter 13 A Numerical Optimisation Based Characterisation of Spatial Reasoning
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    Chapter 14 Why Can’t You Behave? Non-termination Analysis of Direct Recursive Rules with Constraints
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    Chapter 15 Translation of Cognitive Models from ACT-R to Constraint Handling Rules
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    Chapter 16 Enabling Reasoning with LegalRuleML
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    Chapter 17 SBVR to OWL 2 Mapping in the Domain of Legal Rules
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    Chapter 18 OBDA Constraints for Effective Query Answering
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    Chapter 19 A Framework Enhancing the User Search Activity Through Data Posting
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    Chapter 20 PRIMER – A Regression-Rule Learning System for Intervention Optimization
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    Chapter 21 Rule-Based Real-Time ADL Recognition in a Smart Home Environment
  23. Altmetric Badge
    Chapter 22 SmartRL: A Context-Sensitive, Ontology-Based Rule Language for Assisted Living in Smart Environments
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

policy
1 policy source
twitter
10 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
69 Mendeley
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Title
Rule Technologies. Research, Tools, and Applications
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-42019-6
ISBNs
978-3-31-942018-9, 978-3-31-942019-6
Editors

Jose Julio Alferes, Leopoldo Bertossi, Guido Governatori, Paul Fodor, Dumitru Roman

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 28%
Student > Ph. D. Student 18 26%
Researcher 8 12%
Student > Bachelor 7 10%
Student > Doctoral Student 5 7%
Other 9 13%
Unknown 3 4%
Readers by discipline Count As %
Computer Science 33 48%
Business, Management and Accounting 12 17%
Engineering 7 10%
Social Sciences 4 6%
Economics, Econometrics and Finance 3 4%
Other 3 4%
Unknown 7 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 04 July 2023.
All research outputs
#2,900,540
of 24,180,797 outputs
Outputs from Lecture notes in computer science
#581
of 8,180 outputs
Outputs of similar age
#49,332
of 402,310 outputs
Outputs of similar age from Lecture notes in computer science
#108
of 582 outputs
Altmetric has tracked 24,180,797 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,180 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 92% 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 402,310 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 87% of its contemporaries.
We're also able to compare this research output to 582 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.