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3D Research Challenges in Cultural Heritage II

Overview of attention for book
Cover of '3D Research Challenges in Cultural Heritage II'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 A Model Classification for Digital 3D Reconstruction in the Context of Humanities Research
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    Chapter 2 Typical Workflows, Documentation Approaches and Principles of 3D Digital Reconstruction of Cultural Heritage
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    Chapter 3 Digital Reconstruction in Historical Research and Its Implications for Virtual Research Environments
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    Chapter 4 Digital Research Infrastructures: DARIAH
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    Chapter 5 Rapid Prototyping in the Context of Cultural Heritage and Museum Displays
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    Chapter 6 Interpretation of Sensor-Based 3D Documentation
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    Chapter 7 3D Model, Linked Database, and Born-Digital E-Book: An Ideal Approach to Archaeological Research and Publication
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    Chapter 8 3D Models on Triple Paths - New Pathways for Documenting and Visualizing Virtual Reconstructions
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    Chapter 9 Classification Schemes for Visualization of Uncertainty in Digital Hypothetical Reconstruction
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    Chapter 10 Show Me the Data!: Structuring Archaeological Data to Deliver Interactive, Transparent 3D Reconstructions in a 3D WebGIS
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    Chapter 11 Enrichment and Preservation of Architectural Knowledge
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    Chapter 12 Simplifying Documentation of Digital Reconstruction Processes
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    Chapter 13 Cultural Heritage in a Spatial Context – Towards an Integrative, Interoperable, and Participatory Data and Information Management
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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
24 Mendeley
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Title
3D Research Challenges in Cultural Heritage II
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-47647-6
ISBNs
978-3-31-947646-9, 978-3-31-947647-6
Editors

Sander Münster, Mieke Pfarr-Harfst, Piotr Kuroczyński, Marinos Ioannides

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 25%
Student > Doctoral Student 4 17%
Student > Ph. D. Student 4 17%
Student > Postgraduate 3 13%
Other 2 8%
Other 4 17%
Unknown 1 4%
Readers by discipline Count As %
Arts and Humanities 6 25%
Computer Science 5 21%
Engineering 4 17%
Design 2 8%
Social Sciences 2 8%
Other 3 13%
Unknown 2 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 03 January 2023.
All research outputs
#2,507,201
of 23,485,204 outputs
Outputs from Lecture notes in computer science
#513
of 8,161 outputs
Outputs of similar age
#44,656
of 396,913 outputs
Outputs of similar age from Lecture notes in computer science
#102
of 581 outputs
Altmetric has tracked 23,485,204 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 8,161 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 93% 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 396,913 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 88% of its contemporaries.
We're also able to compare this research output to 581 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.