Title |
A Bayesian Network model for predicting cooling load of commercial buildings
|
---|---|
Published in |
Building Simulation, June 2017
|
DOI | 10.1007/s12273-017-0382-z |
Authors |
Sen Huang, Wangda Zuo, Michael D. Sohn |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ecuador | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
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 | 7 | 24% |
Student > Master | 4 | 14% |
Researcher | 4 | 14% |
Lecturer > Senior Lecturer | 1 | 3% |
Student > Doctoral Student | 1 | 3% |
Other | 3 | 10% |
Unknown | 9 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 11 | 38% |
Energy | 5 | 17% |
Computer Science | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Design | 1 | 3% |
Other | 0 | 0% |
Unknown | 10 | 34% |
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 16 August 2018.
All research outputs
#18,581,651
of 23,015,156 outputs
Outputs from Building Simulation
#83
of 117 outputs
Outputs of similar age
#241,381
of 315,311 outputs
Outputs of similar age from Building Simulation
#3
of 5 outputs
Altmetric has tracked 23,015,156 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 117 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 23rd percentile – i.e., 23% 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 315,311 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.