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Technology-Enabled Innovation for Democracy, Government and Governance

Overview of attention for book
Cover of 'Technology-Enabled Innovation for Democracy, Government and Governance'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 eParticipation on the European Union Level
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    Chapter 2 E-Government – New Challenges Ahead
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    Chapter 3 Digital Identity into Practice: The Case of UniCam
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    Chapter 4 Trust-Service Status List Based Signature Verification
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    Chapter 5 Towards a Federated Identity as a Service Model
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    Chapter 6 Ontology-Based Compliance Checking on Higher Education Processes
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    Chapter 7 Managing Emergent Processes with Information-Based Agents
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    Chapter 8 Understanding E-Government Development Barriers in CIS Countries and Exploring Mechanisms for Regional Cooperation
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    Chapter 9 The Synchronized Functional Project (SFP) of Public Administration
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    Chapter 10 Transparency and Social Control via the Citizen’s Portal: A Case Study with the Use of Triangulation
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    Chapter 11 Assessing the Suitability of Current Smartphone Platforms for Mobile Government
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    Chapter 12 Towards Mobile Government: Verification of Electronic Signatures on Smartphones
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    Chapter 13 Open Government Data Catalogs: Current Approaches and Quality Perspective
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    Chapter 14 Open Government Data – A Key Element in the Digital Society
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    Chapter 15 Cloud Computing in E-Government across Europe
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    Chapter 16 Towards a Linked Geospatial Data Infrastructure
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    Chapter 17 On the Duality of E-Participation – Towards a Foundation for Citizen-Led Participation
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    Chapter 18 Policy Making Improvement through Social Learning
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    Chapter 19 Allowing Non-identifying Information Disclosure in Citizen Opinion Evaluation
Attention for Chapter 7: Managing Emergent Processes with Information-Based Agents
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Mentioned by

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1 X user

Citations

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Chapter title
Managing Emergent Processes with Information-Based Agents
Chapter number 7
Book title
Technology-Enabled Innovation for Democracy, Government and Governance
Published in
Lecture notes in computer science, August 2013
DOI 10.1007/978-3-642-40160-2_7
Book ISBNs
978-3-64-240159-6, 978-3-64-240160-2
Authors

John Debenham

Editors

Andrea Kő, Christine Leitner, Herbert Leitold, Alexander Prosser

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
Portugal 1 <1%
Unknown 171 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 23%
Student > Doctoral Student 26 15%
Student > Master 21 12%
Researcher 15 9%
Professor > Associate Professor 11 6%
Other 29 17%
Unknown 32 18%
Readers by discipline Count As %
Computer Science 47 27%
Social Sciences 31 18%
Business, Management and Accounting 30 17%
Engineering 5 3%
Economics, Econometrics and Finance 5 3%
Other 17 10%
Unknown 38 22%
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 09 September 2013.
All research outputs
#15,279,577
of 22,721,584 outputs
Outputs from Lecture notes in computer science
#4,648
of 8,125 outputs
Outputs of similar age
#123,431
of 199,735 outputs
Outputs of similar age from Lecture notes in computer science
#83
of 180 outputs
Altmetric has tracked 22,721,584 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 8,125 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 199,735 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 180 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.