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Autoencoder for wind power prediction

Overview of attention for article published in Sustainable Energy Research, December 2017
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Mentioned by

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1 X user

Citations

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14 Dimensions

Readers on

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19 Mendeley
Title
Autoencoder for wind power prediction
Published in
Sustainable Energy Research, December 2017
DOI 10.1186/s40807-017-0044-x
Authors

Sumaira Tasnim, Ashfaqur Rahman, Amanullah Maung Than Oo, Md. Enamul Haque

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.
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 3 16%
Student > Doctoral Student 2 11%
Student > Bachelor 2 11%
Other 1 5%
Unspecified 1 5%
Other 2 11%
Unknown 8 42%
Readers by discipline Count As %
Engineering 5 26%
Computer Science 4 21%
Arts and Humanities 1 5%
Unspecified 1 5%
Unknown 8 42%
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 15 June 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Sustainable Energy Research
#25
of 27 outputs
Outputs of similar age
#338,781
of 444,112 outputs
Outputs of similar age from Sustainable Energy Research
#4
of 4 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 27 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.2. This one scored the same or higher as 2 of them.
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 444,112 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.