↓ Skip to main content

Carbon nanotube-based multi electrode arrays for neuronal interfacing: progress and prospects

Overview of attention for article published in Frontiers in Neural Circuits, January 2013
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
11 X users
facebook
1 Facebook page

Citations

dimensions_citation
151 Dimensions

Readers on

mendeley
206 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
Carbon nanotube-based multi electrode arrays for neuronal interfacing: progress and prospects
Published in
Frontiers in Neural Circuits, January 2013
DOI 10.3389/fncir.2012.00122
Pubmed ID
Authors

Lilach Bareket-Keren, Yael Hanein

Abstract

Carbon nanotube (CNT) coatings have been demonstrated over the past several years as a promising material for neuronal interfacing applications. In particular, in the realm of neuronal implants, CNTs have major advantages owing to their unique mechanical and electrical properties. Here we review recent investigations utilizing CNTs in neuro-interfacing applications. Cell adhesion, neuronal engineering and multi electrode recordings with CNTs are described. We also highlight prospective advances in this field, in particular, progress toward flexible, bio-compatible CNT-based technology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 <1%
United States 2 <1%
Netherlands 1 <1%
Italy 1 <1%
Switzerland 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Czechia 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 195 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 27%
Researcher 42 20%
Student > Master 34 17%
Student > Bachelor 16 8%
Student > Doctoral Student 9 4%
Other 22 11%
Unknown 27 13%
Readers by discipline Count As %
Engineering 62 30%
Agricultural and Biological Sciences 25 12%
Physics and Astronomy 19 9%
Materials Science 18 9%
Chemistry 17 8%
Other 29 14%
Unknown 36 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 January 2023.
All research outputs
#2,231,177
of 25,197,939 outputs
Outputs from Frontiers in Neural Circuits
#95
of 1,297 outputs
Outputs of similar age
#21,258
of 294,042 outputs
Outputs of similar age from Frontiers in Neural Circuits
#10
of 170 outputs
Altmetric has tracked 25,197,939 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,297 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 92% 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 294,042 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 170 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.