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International Workshop on Evidence-Based Technology Enhanced Learning

Overview of attention for book
International Workshop on Evidence-Based Technology Enhanced Learning
Springer Berlin Heidelberg

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Understanding Computer Architecture with Visual Simulations: What Educational Value?
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    Chapter 2 Evaluation Plan of TERENCE: When the User-Centred Design Meets the Evidence-Based Approach
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    Chapter 3 Assessing Connective Understanding with Visual and Verbal Tasks
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    Chapter 4 Concept Maps and Patterns for Designing Learning Scenarios Based on Digital-Ink Technologies
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    Chapter 5 Online Social Networks Impact in Secondary Education
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    Chapter 6 Learning to Read/Type a Second Language in a Chatbot Enhanced Environment
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    Chapter 7 Learning about Literature on the Web in a German School
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    Chapter 8 Towards a Sociosemiotic WebAnalytics: Higher Education TEL Tools Handling Access and Information Extraction in Textually Complex Websites
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    Chapter 9 Adapting with Evidence: The Adaptive Model and the Stimulation Plan of TERENCE
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    Chapter 10 The User and Domain Models of the TERENCE Adaptive Learning System
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    Chapter 11 Visual Representations of Narratives for Poor Comprehenders
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    Chapter 12 Using Virtual Worlds and Sloodle to Develop Educative Applications
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    Chapter 13 The User Classes Building Process in a TEL Project
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    Chapter 14 CBR Proposal for Personalizing Educational Content
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    Chapter 15 Evaluating ZigBee Protocol to Design CAFLA: A Framework to Develop Location-Based Learning Activities
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    Chapter 16 Menu Navigation in Mobile Devices Using the Accelerometer
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
facebook
1 Facebook page

Readers on

mendeley
12 Mendeley
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Article details
Title
International Workshop on Evidence-Based Technology Enhanced Learning
Published by
Advances in Intelligent and Soft Computing, January 2012
DOI 10.1007/978-3-642-28801-2
ISBNs
978-3-64-228800-5, 978-3-64-228801-2
Editors

Pierpaolo Vittorini, Rosella Gennari, Ivana Marenzi, Fernando de la Prieta, Juan M. Corchado Rodríguez

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 3 25%
Student > Ph. D. Student 2 17%
Other 1 8%
Student > Bachelor 1 8%
Professor 1 8%
Other 1 8%
Unknown 3 25%
Readers by discipline
Readers by discipline Count As %
Computer Science 4 33%
Linguistics 3 25%
Arts and Humanities 1 8%
Earth and Planetary Sciences 1 8%
Unknown 3 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 July 2012.
All research outputs
#7,488,888
of 28,841,988 outputs
Outputs from Advances in Intelligent and Soft Computing
#7
of 75 outputs
Outputs of similar age
#58,776
of 264,117 outputs
Outputs of similar age from Advances in Intelligent and Soft Computing
#7
of 30 outputs
Altmetric has tracked 28,841,988 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 75 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done particularly well, scoring higher than 90% 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 264,117 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 77% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.