↓ Skip to main content

Characterisation of graphene fibres and graphene coated fibres using capacitively coupled contactless conductivity detector

Overview of attention for article published in Analyst, January 2016
Altmetric Badge

About this Attention Score

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

Mentioned by

twitter
1 X user

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
30 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.
Title
Characterisation of graphene fibres and graphene coated fibres using capacitively coupled contactless conductivity detector
Published in
Analyst, January 2016
DOI 10.1039/c5an02534f
Pubmed ID
Authors

Joan M. Cabot, Emer Duffy, Sinéad Currivan, Andres Ruland, Rouhollah Jalili, Attila J. Mozer, Peter C. Innis, Gordon G. Wallace, Michael Breadmore, Brett Paull

Abstract

The use of capacitively coupled contactless conductivity detection (C(4)D) for the characterisation of thin conductive graphene fibres, graphene composite fibres, and graphene coated fibrous materials is demonstrated for the first time. Within a few seconds, the non-destructive C(4)D detector provides a profile of the longetudinal physical homogeneity of the fibre, as well as extra information regarding fibre mophology and composition. In addition to the theoretical considerations related to the factors affect the output signal, this work evaluates the properties of graphene fibres using scanning C(4)D following the manufacturing process of wet-spinning. Furthermore, conductive graphene-coated fibrous materials and the effectiveness of the coating and reduction procedures applied could be investigated. Apart from the application of C(4)D in the monitoring of such processes, the feasibility of this small, highly sensitive and rapidly-responsive detector to monitor strain and elasticity responses of conductive and elastomeric composite fibres for applications in motion sensing, biomedical monitoring, and stretchable electronics was also demonstrated.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 27%
Researcher 5 17%
Student > Master 4 13%
Professor 3 10%
Student > Doctoral Student 3 10%
Other 4 13%
Unknown 3 10%
Readers by discipline Count As %
Chemistry 12 40%
Engineering 4 13%
Materials Science 4 13%
Social Sciences 1 3%
Physics and Astronomy 1 3%
Other 1 3%
Unknown 7 23%
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 19 February 2016.
All research outputs
#18,441,836
of 22,849,304 outputs
Outputs from Analyst
#4,403
of 5,800 outputs
Outputs of similar age
#284,428
of 393,581 outputs
Outputs of similar age from Analyst
#248
of 503 outputs
Altmetric has tracked 22,849,304 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 5,800 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 13th percentile – i.e., 13% 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 393,581 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 503 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.