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A graph-based explanatory model for room-based energy efficiency analysis based on BIM data

Overview of attention for article published in Frontiers in Built Environment, September 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
2 X users

Citations

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1 Dimensions

Readers on

mendeley
49 Mendeley
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Title
A graph-based explanatory model for room-based energy efficiency analysis based on BIM data
Published in
Frontiers in Built Environment, September 2023
DOI 10.3389/fbuil.2023.1256921
Authors

Hamid Kiavarz, Mojgan Jadidi, Payam Esmaili

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 6%
Student > Bachelor 1 2%
Unknown 45 92%
Readers by discipline Count As %
Engineering 3 6%
Philosophy 1 2%
Unknown 45 92%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 September 2023.
All research outputs
#15,946,048
of 24,469,913 outputs
Outputs from Frontiers in Built Environment
#326
of 1,215 outputs
Outputs of similar age
#93,748
of 189,327 outputs
Outputs of similar age from Frontiers in Built Environment
#2
of 27 outputs
Altmetric has tracked 24,469,913 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,215 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 71% 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 189,327 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 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 92% of its contemporaries.