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Renewable Energy and Material Supply Risks: a Predictive Analysis Based on An LSTM Model

Overview of attention for article published in Frontiers in Energy Research, September 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Renewable Energy and Material Supply Risks: a Predictive Analysis Based on An LSTM Model
Published in
Frontiers in Energy Research, September 2020
DOI 10.3389/fenrg.2020.00163
Authors

Bingchun Liu, Jiali Chen, Hui Wang, Qingshan Wang

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

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 16%
Student > Ph. D. Student 4 13%
Student > Postgraduate 2 6%
Student > Master 2 6%
Student > Doctoral Student 1 3%
Other 4 13%
Unknown 14 44%
Readers by discipline Count As %
Computer Science 3 9%
Energy 3 9%
Engineering 3 9%
Business, Management and Accounting 2 6%
Chemical Engineering 2 6%
Other 4 13%
Unknown 15 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 October 2022.
All research outputs
#2,992,107
of 23,493,900 outputs
Outputs from Frontiers in Energy Research
#97
of 3,554 outputs
Outputs of similar age
#78,438
of 409,902 outputs
Outputs of similar age from Frontiers in Energy Research
#7
of 95 outputs
Altmetric has tracked 23,493,900 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,554 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done particularly well, scoring higher than 97% 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 409,902 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 80% of its contemporaries.
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 has done particularly well, scoring higher than 91% of its contemporaries.