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Handbook on 3D3C Platforms

Overview of attention for book
Cover of 'Handbook on 3D3C Platforms'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to 3D3C
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    Chapter 2 The Raise of the Robots in Virtual Worlds: A Comparison and a Framework for Investigating Bots in Social Networks Sites and MMOGs
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    Chapter 3 United States Taxation of Virtual World Economies: A Review of the Current Status
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    Chapter 4 Virtual Worlds Supporting Collaborative Creativity
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    Chapter 5 Virtual Currencies, Micropayments and Monetary Policy: Where Are We Coming From and Where Does the Industry Stand?
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    Chapter 6 Privacy in Virtual Worlds: A US Perspective to a Global Concern
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    Chapter 7 Avatars and Behavioral Experiments: Methods for Controlled Quantitative Social Behavioral Research in Virtual Worlds
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    Chapter 8 Review of Educational Research Methods in 3D3C Worlds: Framing the Past to Provide Future Direction
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    Chapter 9 Linguistic and Multilingual Issues in 3D3C Worlds
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    Chapter 10 The Virtual Experience Economy: A Service-Dominant Logic Perspective
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    Chapter 11 Virtual Psychology: An Overview of Theory, Research, and Future Possibilities
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    Chapter 12 Virtual Worlds for Energy: A Topical Review
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    Chapter 13 Simulating History in Virtual Worlds
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    Chapter 14 Virtual Reality in Medicine
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    Chapter 15 Computer-Simulated 3D Virtual Environments in Collaborative Learning and Training: Meta-Review, Refinement, and Roadmap
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    Chapter 16 Computational Ecosystems in Evolutionary Art, and Their Potential for the Future of Virtual Worlds
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    Chapter 17 Finding Healthcare Support in Online Communities: An Exploration of the Evolution and Efficacy of Virtual Support Groups
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    Chapter 18 Virtual Fashion as an Industry: Making the World Look Better One Avatar at a Time
Attention for Chapter 7: Avatars and Behavioral Experiments: Methods for Controlled Quantitative Social Behavioral Research in Virtual Worlds
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

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3 X users
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1 Facebook page

Citations

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3 Dimensions

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Chapter title
Avatars and Behavioral Experiments: Methods for Controlled Quantitative Social Behavioral Research in Virtual Worlds
Chapter number 7
Book title
Handbook on 3D3C Platforms
Published in
Progress in IS, January 2016
DOI 10.1007/978-3-319-22041-3_7
Book ISBNs
978-3-31-922040-6, 978-3-31-922041-3
Authors

Dimitrij (Mitja) Hmeljak, Robert L. Goldstone

Editors

Yesha Sivan

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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Lecturer 1 33%
Unknown 1 33%
Readers by discipline Count As %
Physics and Astronomy 1 33%
Engineering 1 33%
Unknown 1 33%
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 05 September 2016.
All research outputs
#14,637,004
of 25,992,468 outputs
Outputs from Progress in IS
#1
of 1 outputs
Outputs of similar age
#190,551
of 402,374 outputs
Outputs of similar age from Progress in IS
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 3.0. This one scored the same or higher as 0 of them.
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 402,374 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 52% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them