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47 Mendeley
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Article details
Title
Meta-ANN – A dynamic artificial neural network refined by meta-learning for Short-Term Load Forecasting
Published in
Energy, May 2022
DOI 10.1016/j.energy.2022.123418
Authors

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Timeline Attention over time Attention Score history
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Activity
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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.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 6 13%
Lecturer 3 6%
Student > Doctoral Student 2 4%
Student > Bachelor 2 4%
Student > Master 2 4%
Other 3 6%
Unknown 29 62%
Readers by discipline
Readers by discipline Count As %
Engineering 7 15%
Computer Science 3 6%
Earth and Planetary Sciences 3 6%
Agricultural and Biological Sciences 2 4%
Economics, Econometrics and Finance 1 2%
Other 2 4%
Unknown 29 62%
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 30 January 2023.
All research outputs
#19,160,157
of 27,790,740 outputs
Outputs from Energy
#3,629
of 5,397 outputs
Outputs of similar age
#274,665
of 453,671 outputs
Outputs of similar age from Energy
#63
of 95 outputs
Altmetric has tracked 27,790,740 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,397 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 20th percentile – i.e., 20% 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 453,671 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.