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An ensemble learning framework for snail trail fault detection and diagnosis in photovoltaic modules

Overview of attention for article published in Engineering Applications of Artificial Intelligence, November 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 861)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
3 news outlets
twitter
1 X user

Readers on

mendeley
1 Mendeley
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Title
An ensemble learning framework for snail trail fault detection and diagnosis in photovoltaic modules
Published in
Engineering Applications of Artificial Intelligence, November 2024
DOI 10.1016/j.engappai.2024.109068
Authors

Edgar Hernando Sepúlveda-Oviedo, Louise Travé-Massuyès, Audine Subias, Marko Pavlov, Corinne Alonso

Timeline

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X Demographics

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Environmental Science 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 07 September 2024.
All research outputs
#1,688,123
of 26,588,416 outputs
Outputs from Engineering Applications of Artificial Intelligence
#13
of 861 outputs
Outputs of similar age
#290
of 7,786 outputs
Outputs of similar age from Engineering Applications of Artificial Intelligence
#1
of 9 outputs
Altmetric has tracked 26,588,416 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 861 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 98% 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 7,786 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 9 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