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Explainability in wind farm planning: A machine learning framework for automatic site selection of wind farms

Overview of attention for article published in Energy Conversion & Management, June 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
2 Mendeley
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Title
Explainability in wind farm planning: A machine learning framework for automatic site selection of wind farms
Published in
Energy Conversion & Management, June 2024
DOI 10.1016/j.enconman.2024.118441
Authors

Atakan Bilgili, Tümay Arda, Batuhan Kilic

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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 50%
Student > Doctoral Student 1 50%
Readers by discipline Count As %
Earth and Planetary Sciences 1 50%
Engineering 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 26 April 2024.
All research outputs
#6,897,505
of 25,913,612 outputs
Outputs from Energy Conversion & Management
#468
of 2,260 outputs
Outputs of similar age
#22,401
of 90,802 outputs
Outputs of similar age from Energy Conversion & Management
#4
of 13 outputs
Altmetric has tracked 25,913,612 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,260 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 79% 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 90,802 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.