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Electric Vehicle Modelling for Future Technology and Market Penetration Analysis

Overview of attention for article published in Frontiers in Mechanical Engineering, July 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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2 X users

Citations

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13 Dimensions

Readers on

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50 Mendeley
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Title
Electric Vehicle Modelling for Future Technology and Market Penetration Analysis
Published in
Frontiers in Mechanical Engineering, July 2022
DOI 10.3389/fmech.2022.896547
Authors

Muhammad Salman Bin Ahmad, Apostolos Pesyridis, Panos Sphicas, Amin Mahmoudzadeh Andwari, Ayat Gharehghani, Bianca Maria Vaglieco

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

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 14%
Unspecified 4 8%
Student > Master 4 8%
Student > Bachelor 3 6%
Professor 2 4%
Other 3 6%
Unknown 27 54%
Readers by discipline Count As %
Engineering 9 18%
Unspecified 4 8%
Energy 4 8%
Business, Management and Accounting 2 4%
Computer Science 1 2%
Other 3 6%
Unknown 27 54%
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 14 July 2022.
All research outputs
#17,789,675
of 22,851,489 outputs
Outputs from Frontiers in Mechanical Engineering
#193
of 491 outputs
Outputs of similar age
#287,796
of 436,257 outputs
Outputs of similar age from Frontiers in Mechanical Engineering
#9
of 40 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 491 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 49th percentile – i.e., 49% 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 436,257 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 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 72% of its contemporaries.