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Application of Causal Inference to the Analysis of Occupant Thermal State and Energy Behavioral Intentions in Immersive Virtual Environments

Overview of attention for article published in Frontiers in Sustainable Cities, November 2021
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1 X user

Readers on

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29 Mendeley
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Title
Application of Causal Inference to the Analysis of Occupant Thermal State and Energy Behavioral Intentions in Immersive Virtual Environments
Published in
Frontiers in Sustainable Cities, November 2021
DOI 10.3389/frsc.2021.730474
Authors

Girish Rentala, Yimin Zhu, Supratik Mukhopadhyay

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 7%
Student > Doctoral Student 2 7%
Researcher 2 7%
Other 1 3%
Lecturer > Senior Lecturer 1 3%
Other 4 14%
Unknown 17 59%
Readers by discipline Count As %
Engineering 3 10%
Psychology 2 7%
Computer Science 1 3%
Economics, Econometrics and Finance 1 3%
Environmental Science 1 3%
Other 4 14%
Unknown 17 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 December 2021.
All research outputs
#23,324,704
of 25,992,468 outputs
Outputs from Frontiers in Sustainable Cities
#1
of 1 outputs
Outputs of similar age
#450,138
of 525,493 outputs
Outputs of similar age from Frontiers in Sustainable Cities
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.2. This one scored the same or higher as 0 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 525,493 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them