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Advances in Visual Computing

Overview of attention for book
Cover of 'Advances in Visual Computing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 6 Bioinspired Simulation of Knotting Hagfish
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    Chapter 14 Skin Identification Using Deep Convolutional Neural Network
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    Chapter 15 Resolution-Independent Meshes of Superpixels
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    Chapter 26 Automated Segmentation of the Pectoral Muscle in Axial Breast MR Images
  6. Altmetric Badge
    Chapter 48 An Automatic Digital Terrain Generation Technique for Terrestrial Sensing and Virtual Reality Applications
Attention for Chapter 48: An Automatic Digital Terrain Generation Technique for Terrestrial Sensing and Virtual Reality Applications
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Readers on

mendeley
6 Mendeley
Summary X
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Chapter title
An Automatic Digital Terrain Generation Technique for Terrestrial Sensing and Virtual Reality Applications
Chapter number 48
Book title
Advances in Visual Computing
Published in
arXiv, October 2019
DOI 10.1007/978-3-030-33720-9_48
Book ISBNs
978-3-03-033719-3, 978-3-03-033720-9
Authors

Lee Easson, Alireza Tavakkoli, Jonathan Greenberg

View on publisher site
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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Professor > Associate Professor 1 17%
Lecturer 1 17%
Unknown 3 50%
Readers by discipline Count As %
Computer Science 2 33%
Engineering 2 33%
Unknown 2 33%
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 15 October 2019.
All research outputs
#18,909,315
of 24,093,053 outputs
Outputs from arXiv
#476,986
of 1,018,817 outputs
Outputs of similar age
#252,278
of 356,984 outputs
Outputs of similar age from arXiv
#14,124
of 29,008 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 43rd percentile – i.e., 43% 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 356,984 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29,008 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.

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