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Intelligent grid load forecasting based on BERT network model in low-carbon economy

Overview of attention for article published in Frontiers in Energy Research, June 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
1 X user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Intelligent grid load forecasting based on BERT network model in low-carbon economy
Published in
Frontiers in Energy Research, June 2023
DOI 10.3389/fenrg.2023.1197024
Authors

Peng Tao, Hao Ma, Chong Li, Linqing Liu

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

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 13%
Unknown 7 88%
Readers by discipline Count As %
Economics, Econometrics and Finance 1 13%
Unknown 7 88%
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 16 June 2023.
All research outputs
#21,295,262
of 26,150,897 outputs
Outputs from Frontiers in Energy Research
#951
of 4,773 outputs
Outputs of similar age
#287,378
of 388,581 outputs
Outputs of similar age from Frontiers in Energy Research
#15
of 224 outputs
Altmetric has tracked 26,150,897 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 4,773 research outputs from this source. They receive a mean Attention Score of 1.6. This one has gotten more attention than average, scoring higher than 63% 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 388,581 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 224 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 67% of its contemporaries.