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Web Information Systems Engineering – WISE 2014 Workshops

Overview of attention for book
Cover of 'Web Information Systems Engineering – WISE 2014 Workshops'

Table of Contents

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    Book Overview
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    Chapter 1 Semi-supervised Learning Algorithm for Binary Relevance Multi-label Classification
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    Chapter 2 On the Information Diffusion Between Web-Based Social Networks
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    Chapter 3 Generic Private Social Network for Knowledge Management
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    Chapter 4 Analysis of Event Logs: Behavioral Graphs
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    Chapter 5 Delineating Worker-Centered Organizational Work: Blending BPMS and Social Software Features
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    Chapter 6 Compliance of the LinkedIn Privacy Policy with the Principles of the ISO 29100:2011 Standard
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    Chapter 7 The Use of Social Tagging in Social Business Process Management
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    Chapter 8 SocIoS API: A Data Aggregator for Accessing User Generated Content from Online Social Networks
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    Chapter 9 Integrating Social Media and Open Data in a Cloud-Based Platform for Public Sector Advertising
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    Chapter 10 A Survey on Approaches to Modeling Artifact-Centric Business Processes
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    Chapter 11 A Connectivity Based Recommendation Approach for Data Service Mashups
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    Chapter 12 Using Incentives to Analyze Social Web Services’ Behaviors
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    Chapter 13 Creating and Modelling Personal Socio-Economic Networks in On-Line Banking
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    Chapter 14 Cloud-Based Video Monitoring Framework: An Approach Based on Software-Defined Networking for Addressing Scalability Problems
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    Chapter 15 Context-Awareness in Task Automation Services by Distributed Event Processing
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    Chapter 16 Data Streams Quality Evaluation for the Generation of Alarms in Health Domain
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    Chapter 17 Multilayer and Multi-agent Data Fusion in WSN
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    Chapter 18 Strategies for Data Quality Monitoring in Business Processes
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    Chapter 19 Quality Improvement Framework for Business Oriented Geo-spatial Data
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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

1 news outlet


1 Dimensions

Readers on

22 Mendeley
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Web Information Systems Engineering – WISE 2014 Workshops
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-20370-6
978-3-31-920369-0, 978-3-31-920370-6

Boualem Benatallah, Azer Bestavros, Barbara Catania, Armin Haller, Yannis Manolopoulos, Athena Vakali, Yanchun Zhang


Benatallah, Boualem, Bestavros, Azer, Catania, Barbara, Haller, Armin, Manolopoulos, Yannis, Vakali, Athena, Zhang, Yanchun

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 2 9%
Student > Ph. D. Student 2 9%
Lecturer 1 5%
Student > Master 1 5%
Professor > Associate Professor 1 5%
Other 1 5%
Unknown 14 64%
Readers by discipline Count As %
Computer Science 5 23%
Business, Management and Accounting 1 5%
Social Sciences 1 5%
Engineering 1 5%
Unknown 14 64%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 02 June 2016.
All research outputs
of 7,847,043 outputs
Outputs from Lecture notes in computer science
of 6,521 outputs
Outputs of similar age
of 288,022 outputs
Outputs of similar age from Lecture notes in computer science
of 189 outputs
Altmetric has tracked 7,847,043 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,521 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 95% 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 288,022 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 85% of its contemporaries.
We're also able to compare this research output to 189 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.