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Integration of Nanobots Into Neural Circuits As a Future Therapy for Treating Neurodegenerative Disorders

Overview of attention for article published in Frontiers in Neuroscience, March 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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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2 news outlets
blogs
3 blogs
twitter
19 X users
video
1 YouTube creator

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56 Mendeley
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Title
Integration of Nanobots Into Neural Circuits As a Future Therapy for Treating Neurodegenerative Disorders
Published in
Frontiers in Neuroscience, March 2018
DOI 10.3389/fnins.2018.00153
Pubmed ID
Authors

Arthur Saniotis, Maciej Henneberg, Abdul-Rahman Sawalma

Abstract

Recent neuroscientific research demonstrates that the human brain is becoming altered by technological devices. Improvements in biotechnologies and computer based technologies are now increasing the likelihood for the development of brain augmentation devices in the next 20 years. We have developed the idea of an "Endomyccorhizae like interface" (ELI) nanocognitive device as a new kind of future neuroprosthetic which aims to facilitate neuronal network properties in individuals with neurodegenerative disorders. The design of our ELI may overcome the problems of invasive neuroprosthetics, post-operative inflammation, and infection and neuroprosthetic degradation. The method in which our ELI is connected and integrated to neuronal networks is based on a mechanism similar to endomyccorhizae which is the oldest and most widespread form of plant symbiosis. We propose that the principle of Endomyccorhizae could be relevant for developing a crossing point between the ELI and neuronal networks. Similar to endomyccorhizae the ELI will be designed to form webs, each of which connects multiple neurons together. The ELI will function to sense action potentials and deliver it to the neurons it connects to. This is expected to compensate for neuronal loss in some neurodegenerative disorders, such as Alzheimer's disease and Parkinson's disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 18 32%
Researcher 5 9%
Student > Ph. D. Student 4 7%
Student > Master 3 5%
Other 2 4%
Other 6 11%
Unknown 18 32%
Readers by discipline Count As %
Neuroscience 9 16%
Nursing and Health Professions 4 7%
Medicine and Dentistry 4 7%
Biochemistry, Genetics and Molecular Biology 3 5%
Psychology 3 5%
Other 13 23%
Unknown 20 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 21 April 2024.
All research outputs
#926,283
of 25,756,911 outputs
Outputs from Frontiers in Neuroscience
#398
of 11,706 outputs
Outputs of similar age
#20,705
of 348,686 outputs
Outputs of similar age from Frontiers in Neuroscience
#16
of 263 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,706 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 96% 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 348,686 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 94% of its contemporaries.
We're also able to compare this research output to 263 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 93% of its contemporaries.