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Forecasting Energy Consumption Based on SVR and Markov Model: A Case Study of China

Overview of attention for article published in Frontiers in Environmental Science, April 2022
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
2 X users

Citations

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23 Dimensions

Readers on

mendeley
43 Mendeley
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Title
Forecasting Energy Consumption Based on SVR and Markov Model: A Case Study of China
Published in
Frontiers in Environmental Science, April 2022
DOI 10.3389/fenvs.2022.883711
Authors

Zhaosu Meng, Huike Sun, Xi Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 7%
Researcher 3 7%
Student > Bachelor 3 7%
Student > Master 3 7%
Lecturer 1 2%
Other 1 2%
Unknown 29 67%
Readers by discipline Count As %
Energy 5 12%
Unspecified 3 7%
Engineering 3 7%
Economics, Econometrics and Finance 1 2%
Mathematics 1 2%
Other 0 0%
Unknown 30 70%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 October 2023.
All research outputs
#16,121,560
of 24,532,617 outputs
Outputs from Frontiers in Environmental Science
#1,165
of 4,314 outputs
Outputs of similar age
#241,683
of 434,487 outputs
Outputs of similar age from Frontiers in Environmental Science
#103
of 497 outputs
Altmetric has tracked 24,532,617 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,314 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 69% 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 434,487 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 497 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.