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Energy use predictions with machine learning during architectural concept design

Overview of attention for article published in Science and Technology for the Built Environment, May 2017
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About this Attention Score

  • Among the highest-scoring outputs from this source (#33 of 111)
  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Readers on

mendeley
64 Mendeley
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Article details
Title
Energy use predictions with machine learning during architectural concept design
Published in
Science and Technology for the Built Environment, May 2017
DOI 10.1080/23744731.2017.1319176
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Brazil 1 2%
Unknown 63 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Student > Master 9 14%
Researcher 5 8%
Student > Bachelor 3 5%
Lecturer > Senior Lecturer 2 3%
Other 8 13%
Unknown 21 33%
Readers by discipline
Readers by discipline Count As %
Engineering 12 19%
Design 5 8%
Computer Science 4 6%
Arts and Humanities 4 6%
Business, Management and Accounting 3 5%
Other 12 19%
Unknown 24 38%
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 26 January 2024.
All research outputs
#8,184,842
of 25,241,031 outputs
Outputs from Science and Technology for the Built Environment
#33
of 111 outputs
Outputs of similar age
#118,591
of 316,699 outputs
Outputs of similar age from Science and Technology for the Built Environment
#2
of 3 outputs
Altmetric has tracked 25,241,031 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 111 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.3. 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 316,699 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 61% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.