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A room with a view: Automatic assessment of window views for high-rise high-density areas using City Information Models and deep transfer learning

Overview of attention for article published in Landscape & Urban Planning, October 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
4 X users

Citations

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13 Dimensions

Readers on

mendeley
46 Mendeley
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Title
A room with a view: Automatic assessment of window views for high-rise high-density areas using City Information Models and deep transfer learning
Published in
Landscape & Urban Planning, October 2022
DOI 10.1016/j.landurbplan.2022.104505
Authors

Maosu Li, Fan Xue, Yijie Wu, Anthony G.O. Yeh

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 7 15%
Student > Ph. D. Student 6 13%
Other 3 7%
Student > Doctoral Student 3 7%
Student > Master 3 7%
Other 7 15%
Unknown 17 37%
Readers by discipline Count As %
Unspecified 7 15%
Engineering 6 13%
Design 4 9%
Agricultural and Biological Sciences 2 4%
Arts and Humanities 2 4%
Other 7 15%
Unknown 18 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 February 2023.
All research outputs
#7,363,646
of 25,392,582 outputs
Outputs from Landscape & Urban Planning
#954
of 2,162 outputs
Outputs of similar age
#135,440
of 439,259 outputs
Outputs of similar age from Landscape & Urban Planning
#29
of 66 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 69th percentile.
So far Altmetric has tracked 2,162 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has gotten more attention than average, scoring higher than 54% 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 439,259 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 68% of its contemporaries.
We're also able to compare this research output to 66 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 54% of its contemporaries.