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Deep learning approaches to building rooftop thermal bridge detection from aerial images

Overview of attention for article published in Automation in Construction, February 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Deep learning approaches to building rooftop thermal bridge detection from aerial images
Published in
Automation in Construction, February 2023
DOI 10.1016/j.autcon.2022.104690
Authors

Zoe Mayer, James Kahn, Yu Hou, Markus Götz, Rebekka Volk, Frank Schultmann

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 20%
Researcher 4 16%
Other 1 4%
Student > Doctoral Student 1 4%
Lecturer 1 4%
Other 2 8%
Unknown 11 44%
Readers by discipline Count As %
Computer Science 6 24%
Engineering 3 12%
Energy 1 4%
Design 1 4%
Unknown 14 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 December 2022.
All research outputs
#6,502,626
of 25,392,582 outputs
Outputs from Automation in Construction
#204
of 1,041 outputs
Outputs of similar age
#119,386
of 471,974 outputs
Outputs of similar age from Automation in Construction
#2
of 21 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
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 well, scoring higher than 80% 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 471,974 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 74% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.