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Generative Deep Learning for Visual Animation in Landscapes Design

Overview of attention for article published in Scientific Programming, August 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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1 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Generative Deep Learning for Visual Animation in Landscapes Design
Published in
Scientific Programming, August 2023
DOI 10.1155/2023/9443704
Authors

Peter Ardhianto, Yonathan Purbo Santosa, Christian Moniaga, Maya Putri Utami, Christine Dewi, Henoch Juli Christanto, Abbott Po Shun Chen

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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 38%
Lecturer 1 13%
Student > Ph. D. Student 1 13%
Student > Doctoral Student 1 13%
Unknown 2 25%
Readers by discipline Count As %
Unspecified 3 38%
Computer Science 2 25%
Unknown 3 38%
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 09 August 2023.
All research outputs
#17,301,727
of 25,394,764 outputs
Outputs from Scientific Programming
#115
of 232 outputs
Outputs of similar age
#200,806
of 357,599 outputs
Outputs of similar age from Scientific Programming
#1
of 2 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 232 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 37th percentile – i.e., 37% 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 357,599 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them