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Neuromodulation: present and emerging methods

Overview of attention for article published in Frontiers in Neuroengineering, July 2014
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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4 X users
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2 patents

Citations

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123 Dimensions

Readers on

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291 Mendeley
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Title
Neuromodulation: present and emerging methods
Published in
Frontiers in Neuroengineering, July 2014
DOI 10.3389/fneng.2014.00027
Pubmed ID
Authors

Song Luan, Ian Williams, Konstantin Nikolic, Timothy G. Constandinou

Abstract

Neuromodulation has wide ranging potential applications in replacing impaired neural function (prosthetics), as a novel form of medical treatment (therapy), and as a tool for investigating neurons and neural function (research). Voltage and current controlled electrical neural stimulation (ENS) are methods that have already been widely applied in both neuroscience and clinical practice for neuroprosthetics. However, there are numerous alternative methods of stimulating or inhibiting neurons. This paper reviews the state-of-the-art in ENS as well as alternative neuromodulation techniques-presenting the operational concepts, technical implementation and limitations-in order to inform system design choices.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 291 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Japan 2 <1%
Spain 1 <1%
Turkey 1 <1%
United States 1 <1%
Serbia 1 <1%
Unknown 283 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 63 22%
Student > Master 41 14%
Student > Bachelor 40 14%
Researcher 38 13%
Student > Doctoral Student 16 5%
Other 34 12%
Unknown 59 20%
Readers by discipline Count As %
Engineering 88 30%
Neuroscience 45 15%
Medicine and Dentistry 19 7%
Agricultural and Biological Sciences 14 5%
Biochemistry, Genetics and Molecular Biology 10 3%
Other 42 14%
Unknown 73 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 02 August 2023.
All research outputs
#4,291,369
of 24,187,394 outputs
Outputs from Frontiers in Neuroengineering
#18
of 82 outputs
Outputs of similar age
#40,018
of 231,356 outputs
Outputs of similar age from Frontiers in Neuroengineering
#3
of 15 outputs
Altmetric has tracked 24,187,394 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 82 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 79% 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 231,356 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.