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patent
1 patent

Readers on

mendeley
26 Mendeley
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Article details
Title
Statistical key variable analysis and model-based control for the improvement of thermal efficiency of a multi-fuel boiler
Published in
Fuel, May 2010
DOI 10.1016/j.fuel.2009.07.001
Authors

Shyan-Shu Shieh, Yi-Hsin Chang, Shi-Shang Jang, Ming-Da Ma, Ta-Sung Huang

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
South Africa 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 10 38%
Student > Ph. D. Student 2 8%
Researcher 1 4%
Professor > Associate Professor 1 4%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 11 42%
Readers by discipline
Readers by discipline Count As %
Engineering 13 50%
Environmental Science 1 4%
Computer Science 1 4%
Physics and Astronomy 1 4%
Unknown 10 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 19 January 2012.
All research outputs
#9,515,654
of 27,784,943 outputs
Outputs from Fuel
#1,044
of 3,981 outputs
Outputs of similar age
#43,473
of 114,392 outputs
Outputs of similar age from Fuel
#10
of 18 outputs
Altmetric has tracked 27,784,943 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 3,981 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 32nd percentile – i.e., 32% 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 114,392 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.