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Artificial Intelligence for Efficient Thermal Comfort Systems: Requirements, Current Applications and Future Directions

Overview of attention for article published in Frontiers in Built Environment, April 2020
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1 X user

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153 Mendeley
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Title
Artificial Intelligence for Efficient Thermal Comfort Systems: Requirements, Current Applications and Future Directions
Published in
Frontiers in Built Environment, April 2020
DOI 10.3389/fbuil.2020.00049
Authors

Ali Ghahramani, Parson Galicia, David Lehrer, Zubin Varghese, Zhe Wang, Yogesh Pandit

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 153 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 14%
Researcher 17 11%
Student > Master 17 11%
Lecturer 6 4%
Other 6 4%
Other 21 14%
Unknown 64 42%
Readers by discipline Count As %
Engineering 39 25%
Energy 9 6%
Computer Science 7 5%
Arts and Humanities 5 3%
Biochemistry, Genetics and Molecular Biology 3 2%
Other 23 15%
Unknown 67 44%
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 28 April 2020.
All research outputs
#18,720,769
of 23,204,238 outputs
Outputs from Frontiers in Built Environment
#561
of 1,090 outputs
Outputs of similar age
#284,076
of 377,525 outputs
Outputs of similar age from Frontiers in Built Environment
#20
of 57 outputs
Altmetric has tracked 23,204,238 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,090 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 377,525 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.