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High‐Density Stretchable Electrode Grids for Chronic Neural Recording

Overview of attention for article published in Advanced Materials, February 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
14 news outlets
blogs
6 blogs
twitter
5 X users

Citations

dimensions_citation
217 Dimensions

Readers on

mendeley
325 Mendeley
citeulike
1 CiteULike
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Title
High‐Density Stretchable Electrode Grids for Chronic Neural Recording
Published in
Advanced Materials, February 2018
DOI 10.1002/adma.201706520
Pubmed ID
Authors

Klas Tybrandt, Dion Khodagholy, Bernd Dielacher, Flurin Stauffer, Aline F. Renz, György Buzsáki, János Vörös

Abstract

Electrical interfacing with neural tissue is key to advancing diagnosis and therapies for neurological disorders, as well as providing detailed information about neural signals. A challenge for creating long-term stable interfaces between electronics and neural tissue is the huge mechanical mismatch between the systems. So far, materials and fabrication processes have restricted the development of soft electrode grids able to combine high performance, long-term stability, and high electrode density, aspects all essential for neural interfacing. Here, this challenge is addressed by developing a soft, high-density, stretchable electrode grid based on an inert, high-performance composite material comprising gold-coated titanium dioxide nanowires embedded in a silicone matrix. The developed grid can resolve high spatiotemporal neural signals from the surface of the cortex in freely moving rats with stable neural recording quality and preserved electrode signal coherence during 3 months of implantation. Due to its flexible and stretchable nature, it is possible to minimize the size of the craniotomy required for placement, further reducing the level of invasiveness. The material and device technology presented herein have potential for a wide range of emerging biomedical applications.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 325 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 325 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 81 25%
Researcher 43 13%
Student > Master 35 11%
Student > Bachelor 31 10%
Student > Doctoral Student 14 4%
Other 31 10%
Unknown 90 28%
Readers by discipline Count As %
Engineering 91 28%
Materials Science 40 12%
Neuroscience 22 7%
Physics and Astronomy 16 5%
Chemistry 14 4%
Other 37 11%
Unknown 105 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 130. 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 26 June 2018.
All research outputs
#318,313
of 25,305,422 outputs
Outputs from Advanced Materials
#230
of 17,575 outputs
Outputs of similar age
#7,249
of 336,675 outputs
Outputs of similar age from Advanced Materials
#11
of 304 outputs
Altmetric has tracked 25,305,422 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,575 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 98% 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 336,675 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 97% of its contemporaries.
We're also able to compare this research output to 304 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 96% of its contemporaries.