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Modeling Electric Double-Layer Capacitors Using Charge Variation Methodology in Gibbs Ensemble

Overview of attention for article published in Frontiers in Energy Research, January 2018
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15 Mendeley
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Title
Modeling Electric Double-Layer Capacitors Using Charge Variation Methodology in Gibbs Ensemble
Published in
Frontiers in Energy Research, January 2018
DOI 10.3389/fenrg.2017.00036
Authors

Ganeshprasad Pavaskar, Krishnaprasath Ramakrishnasubramanian, Vinay S. Kandagal, Parveen Kumar

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

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 20%
Student > Master 2 13%
Professor 1 7%
Student > Doctoral Student 1 7%
Student > Bachelor 1 7%
Other 1 7%
Unknown 6 40%
Readers by discipline Count As %
Chemistry 4 27%
Energy 2 13%
Materials Science 1 7%
Engineering 1 7%
Unknown 7 47%
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 24 January 2018.
All research outputs
#18,584,192
of 23,018,998 outputs
Outputs from Frontiers in Energy Research
#745
of 3,292 outputs
Outputs of similar age
#330,384
of 441,261 outputs
Outputs of similar age from Frontiers in Energy Research
#11
of 15 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,292 research outputs from this source. They receive a mean Attention Score of 1.7. This one has gotten more attention than average, scoring higher than 60% 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 441,261 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 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.