↓ Skip to main content

Effects and controls of capacitive hysteresis in ionic liquid electrochemical measurements

Overview of attention for article published in Analyst, January 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Readers on

mendeley
24 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Effects and controls of capacitive hysteresis in ionic liquid electrochemical measurements
Published in
Analyst, January 2018
DOI 10.1039/c8an01085d
Pubmed ID
Authors
Abstract

Capacitance vs. potential relationships help electrochemists better understand electrode-liquid interfacial behaviors. However, the current ionic liquid literature does not have a unified experimental approach, and hysteresis effects are of significant concern. Known experimental variables that can influence capacitance-potential data include electrode material and morphology, potential scan direction, equivalent circuit model applied during analysis, and, to some extent, the electrochemical technique employed. To our knowledge, the present work is the first systematic study of four major variables that are relevant to IL-based capacitance measurements, and of their effects on resulting capacitance curvature. We examine: (1) the potential range explored, (2) the potential scan direction applied, (3) the data acquisition protocol used to collect data, and (4) the electrochemical technique used to generate capacitance data. Specifically, we find that all four of these (some more than others) 'user-defined' experimental variables influence the resulting capacitance-potential curvature for a typical ionic liquid electrochemical system. In an effort to minimize bias and to permit better comparisons of data collected from different laboratories we provide guidelines to help critically assess IL capacitance-potential data.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Student > Bachelor 3 13%
Student > Doctoral Student 2 8%
Researcher 2 8%
Other 1 4%
Other 2 8%
Unknown 10 42%
Readers by discipline
Readers by discipline Count As %
Chemistry 6 25%
Chemical Engineering 3 13%
Physics and Astronomy 3 13%
Materials Science 2 8%
Unknown 10 42%
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 30 November 2018.
All research outputs
#19,396,683
of 28,133,550 outputs
Outputs from Analyst
#4,419
of 6,550 outputs
Outputs of similar age
#295,631
of 458,544 outputs
Outputs of similar age from Analyst
#159
of 302 outputs
Altmetric has tracked 28,133,550 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,550 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 24th percentile – i.e., 24% 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 458,544 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 302 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.