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Current Trends in Web Engineering

Overview of attention for book
Cover of 'Current Trends in Web Engineering'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Constructing Linguistic Resources for the Tunisian Dialect Using Textual User-Generated Contents on the Social Web
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    Chapter 2 Spanish Treebank Annotation of Informal Non-standard Web Text
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    Chapter 3 Introduction of N-gram into a Run-Length Encoding Based ASCII Art Extraction Method
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    Chapter 4 SMT: A Case Study of Kazakh-English Word Alignment
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    Chapter 5 Fractally-Organized Connectionist Networks: Conjectures and Preliminary Results
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    Chapter 6 Internet-Based Enterprise Innovation Through a Community-Based API Builder to Manage APIs
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    Chapter 7 End-User Centered Events Detection and Management in the Internet of Things
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    Chapter 8 Proposals for Modular Asynchronous Web Programming: Issues and Challenges
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    Chapter 9 Responding to Retrieval: A Proposal to Use Retrieval Information for Better Presentation of Website Content
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    Chapter 10 Perspectives and Methods in the Development of Technological Tools for Supporting Future Studies in Science and Technology
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    Chapter 11 Sensing Airports’ Traffic by Mining Location Sharing Social Services
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    Chapter 12 An Approach for Mining Social Patterns in the Conceptual Schema of CMS-Based Web Applications
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    Chapter 13 An e-Recruitment System Exploiting Candidates’ Social Presence
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    Chapter 14 #Nowplaying on #Spotify: Leveraging Spotify Information on Twitter for Artist Recommendations
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    Chapter 15 Retrieving Relevant and Interesting Tweets During Live Television Broadcasts
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    Chapter 16 Current Trends in Web Engineering
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 (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
4 X users
peer_reviews
1 peer review site

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
14 Mendeley
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Title
Current Trends in Web Engineering
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-24800-4
ISBNs
978-3-31-924799-1, 978-3-31-924800-4
Authors

Florian Daniel, Oscar Diaz

Editors

Florian Daniel, Oscar Diaz

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 21%
Student > Ph. D. Student 3 21%
Researcher 3 21%
Student > Bachelor 2 14%
Professor > Associate Professor 1 7%
Other 0 0%
Unknown 2 14%
Readers by discipline Count As %
Computer Science 6 43%
Arts and Humanities 2 14%
Business, Management and Accounting 2 14%
Linguistics 1 7%
Social Sciences 1 7%
Other 0 0%
Unknown 2 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 June 2021.
All research outputs
#7,240,812
of 22,880,230 outputs
Outputs from Lecture notes in computer science
#2,399
of 8,130 outputs
Outputs of similar age
#100,639
of 353,345 outputs
Outputs of similar age from Lecture notes in computer science
#110
of 257 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,130 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 69% 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 353,345 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 70% of its contemporaries.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.