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A robust pattern recognition-based fault detection and diagnosis (FDD) method for chillers

Overview of attention for article published in HVAC&R Research, October 2014
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  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
7 patents

Readers on

mendeley
58 Mendeley
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Article details
Title
A robust pattern recognition-based fault detection and diagnosis (FDD) method for chillers
Published in
HVAC&R Research, October 2014
DOI 10.1080/10789669.2014.938006
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
India 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 24%
Student > Master 11 19%
Researcher 5 9%
Other 2 3%
Lecturer 2 3%
Other 4 7%
Unknown 20 34%
Readers by discipline
Readers by discipline Count As %
Engineering 24 41%
Energy 6 10%
Computer Science 3 5%
Environmental Science 2 3%
Chemistry 1 2%
Other 0 0%
Unknown 22 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 May 2025.
All research outputs
#9,515,460
of 27,780,120 outputs
Outputs from HVAC&R Research
#7
of 22 outputs
Outputs of similar age
#93,357
of 270,062 outputs
Outputs of similar age from HVAC&R Research
#1
of 4 outputs
Altmetric has tracked 27,780,120 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22 research outputs from this source. They receive a mean Attention Score of 4.2. This one scored the same or higher as 15 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 270,062 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 50% of its contemporaries.
We're also able to compare this research output to 4 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