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Machine learning for estimation of building energy consumption and performance: a review

Overview of attention for article published in Visualization in Engineering, October 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

twitter
4 X users
patent
1 patent

Citations

dimensions_citation
259 Dimensions

Readers on

mendeley
702 Mendeley
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Title
Machine learning for estimation of building energy consumption and performance: a review
Published in
Visualization in Engineering, October 2018
DOI 10.1186/s40327-018-0064-7
Authors

Saleh Seyedzadeh, Farzad Pour Rahimian, Ivan Glesk, Marc Roper

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

Geographical breakdown

Country Count As %
Unknown 702 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 120 17%
Student > Ph. D. Student 105 15%
Researcher 56 8%
Student > Bachelor 40 6%
Student > Doctoral Student 36 5%
Other 88 13%
Unknown 257 37%
Readers by discipline Count As %
Engineering 189 27%
Energy 70 10%
Computer Science 53 8%
Unspecified 17 2%
Design 15 2%
Other 69 10%
Unknown 289 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 May 2022.
All research outputs
#6,483,037
of 23,838,611 outputs
Outputs from Visualization in Engineering
#11
of 42 outputs
Outputs of similar age
#113,369
of 345,656 outputs
Outputs of similar age from Visualization in Engineering
#2
of 2 outputs
Altmetric has tracked 23,838,611 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 42 research outputs from this source. They receive a mean Attention Score of 3.5. This one scored the same or higher as 31 of them.
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 345,656 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 66% of its contemporaries.
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.