↓ Skip to main content

Biomimetic Microelectronics for Regenerative Neuronal Cuff Implants

Overview of attention for article published in Advanced Materials, September 2015
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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
2 news outlets
patent
3 patents
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Readers on

mendeley
161 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
Biomimetic Microelectronics for Regenerative Neuronal Cuff Implants
Published in
Advanced Materials, September 2015
DOI 10.1002/adma.201503696
Pubmed ID
Authors
Abstract

Smart biomimetics, a unique class of devices combining the mechanical adaptivity of soft actuators with the imperceptibility of microelectronics, are introduced. Due to their inherent ability to self-assemble, biomimetic microelectronics can firmly yet gently attach to an inorganic or biological tissue enabling enclosure of, e.g., nervous fibers, or guide the growth of neuronal cells during regeneration.

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 1%
Unknown 159 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 43 27%
Researcher 30 19%
Student > Master 21 13%
Student > Doctoral Student 11 7%
Student > Bachelor 5 3%
Other 14 9%
Unknown 37 23%
Readers by discipline
Readers by discipline Count As %
Engineering 47 29%
Materials Science 33 20%
Physics and Astronomy 13 8%
Chemistry 7 4%
Medicine and Dentistry 5 3%
Other 11 7%
Unknown 45 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 11 October 2022.
All research outputs
#1,770,603
of 34,089,221 outputs
Outputs from Advanced Materials
#1,741
of 23,514 outputs
Outputs of similar age
#19,136
of 311,858 outputs
Outputs of similar age from Advanced Materials
#27
of 265 outputs
Altmetric has tracked 34,089,221 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,514 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. 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 311,858 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 93% of its contemporaries.
We're also able to compare this research output to 265 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.