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Research on electric vehicle load forecasting considering regional special event characteristics

Overview of attention for article published in Frontiers in Energy Research, February 2024
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
2 Mendeley
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Title
Research on electric vehicle load forecasting considering regional special event characteristics
Published in
Frontiers in Energy Research, February 2024
DOI 10.3389/fenrg.2024.1341246
Authors

Tuo Xie, Yu Zhang, Gang Zhang, Kaoshe Zhang, Hua Li, Xin He

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Business, Management and Accounting 1 50%
Unknown 1 50%
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 22 February 2024.
All research outputs
#17,224,532
of 25,376,589 outputs
Outputs from Frontiers in Energy Research
#634
of 4,567 outputs
Outputs of similar age
#104,779
of 204,240 outputs
Outputs of similar age from Frontiers in Energy Research
#6
of 203 outputs
Altmetric has tracked 25,376,589 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,567 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done well, scoring higher than 84% 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 204,240 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 203 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.