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Digital Modeling for Everyone: Exploring How Novices Approach Voice-Based 3D Modeling

Overview of attention for article published in arXiv, January 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
7 Mendeley
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Title
Digital Modeling for Everyone: Exploring How Novices Approach Voice-Based 3D Modeling
Published in
arXiv, January 2023
DOI 10.1007/978-3-031-42293-5_11
Authors

Giuseppe Desolda, Andrea Esposito, Florian Müller, Sebastian Feger

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Researcher 2 29%
Lecturer > Senior Lecturer 1 14%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 3 43%
Arts and Humanities 1 14%
Engineering 1 14%
Unknown 2 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 August 2023.
All research outputs
#15,066,861
of 24,362,308 outputs
Outputs from arXiv
#274,244
of 1,035,196 outputs
Outputs of similar age
#204,799
of 449,657 outputs
Outputs of similar age from arXiv
#8,753
of 36,040 outputs
Altmetric has tracked 24,362,308 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,035,196 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 70% 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 449,657 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 52% of its contemporaries.
We're also able to compare this research output to 36,040 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 72% of its contemporaries.