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Machine-learned kinetic Façade: Construction and artificial intelligence enabled predictive control for visual comfort

Overview of attention for article published in Automation in Construction, December 2023
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
61 Mendeley
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Title
Machine-learned kinetic Façade: Construction and artificial intelligence enabled predictive control for visual comfort
Published in
Automation in Construction, December 2023
DOI 10.1016/j.autcon.2023.105093
Authors

Mollaeiubli Takhmasib, Hyuk Jae Lee, Hwang Yi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 11 18%
Student > Master 5 8%
Other 2 3%
Student > Bachelor 2 3%
Researcher 2 3%
Other 6 10%
Unknown 33 54%
Readers by discipline Count As %
Unspecified 9 15%
Engineering 9 15%
Design 5 8%
Arts and Humanities 3 5%
Decision Sciences 1 2%
Other 1 2%
Unknown 33 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 12 August 2024.
All research outputs
#4,374,136
of 25,394,764 outputs
Outputs from Automation in Construction
#84
of 1,041 outputs
Outputs of similar age
#61,063
of 348,138 outputs
Outputs of similar age from Automation in Construction
#2
of 17 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,041 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 91% 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 348,138 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 81% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.