↓ Skip to main content

False alarm detection in wind turbine by classification models

Overview of attention for article published in Advances in Engineering Software, March 2023
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#44 of 268)
  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
15 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
False alarm detection in wind turbine by classification models
Published in
Advances in Engineering Software, March 2023
DOI 10.1016/j.advengsoft.2023.103409
Authors

Ana María Peco Chacón, Isaac Segovia Ramirez, Fausto Pedro García Márquez

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 13%
Professor 1 7%
Unspecified 1 7%
Other 1 7%
Student > Master 1 7%
Other 0 0%
Unknown 9 60%
Readers by discipline Count As %
Engineering 3 20%
Unspecified 1 7%
Energy 1 7%
Computer Science 1 7%
Unknown 9 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 08 February 2023.
All research outputs
#7,857,016
of 25,392,582 outputs
Outputs from Advances in Engineering Software
#44
of 268 outputs
Outputs of similar age
#136,548
of 422,415 outputs
Outputs of similar age from Advances in Engineering Software
#1
of 1 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 268 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 83% of its peers.
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 422,415 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 67% of its contemporaries.
We're also able to compare this research output to 1 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