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Wind Turbine Gearbox Failure Detection Through Cumulative Sum of Multivariate Time Series Data

Overview of attention for article published in Frontiers in Energy Research, May 2022
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Mentioned by

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1 YouTube creator

Citations

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7 Dimensions

Readers on

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19 Mendeley
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Title
Wind Turbine Gearbox Failure Detection Through Cumulative Sum of Multivariate Time Series Data
Published in
Frontiers in Energy Research, May 2022
DOI 10.3389/fenrg.2022.904622
Authors

Effi Latiffianti, Shawn Sheng, Yu Ding

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 11%
Researcher 2 11%
Professor 1 5%
Lecturer 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 11 58%
Readers by discipline Count As %
Engineering 4 21%
Mathematics 1 5%
Design 1 5%
Unknown 13 68%
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 13 September 2023.
All research outputs
#21,885,607
of 24,417,958 outputs
Outputs from Frontiers in Energy Research
#1,423
of 4,017 outputs
Outputs of similar age
#364,089
of 430,291 outputs
Outputs of similar age from Frontiers in Energy Research
#79
of 449 outputs
Altmetric has tracked 24,417,958 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 4,017 research outputs from this source. They receive a mean Attention Score of 1.7. 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 430,291 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 449 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.