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Tracking single units in chronic, large scale, neural recordings for brain machine interface applications

Overview of attention for article published in Frontiers in Neuroengineering, July 2014
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 X user

Citations

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21 Dimensions

Readers on

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66 Mendeley
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Title
Tracking single units in chronic, large scale, neural recordings for brain machine interface applications
Published in
Frontiers in Neuroengineering, July 2014
DOI 10.3389/fneng.2014.00023
Pubmed ID
Authors

Ahmed Eleryan, Mukta Vaidya, Joshua Southerland, Islam S. Badreldin, Karthikeyan Balasubramanian, Andrew H. Fagg, Nicholas Hatsopoulos, Karim Oweiss

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Spain 1 2%
Unknown 63 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 20%
Researcher 11 17%
Student > Master 8 12%
Student > Doctoral Student 7 11%
Professor > Associate Professor 6 9%
Other 13 20%
Unknown 8 12%
Readers by discipline Count As %
Engineering 22 33%
Neuroscience 16 24%
Agricultural and Biological Sciences 6 9%
Psychology 5 8%
Medicine and Dentistry 3 5%
Other 4 6%
Unknown 10 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 October 2023.
All research outputs
#16,745,862
of 24,630,122 outputs
Outputs from Frontiers in Neuroengineering
#49
of 80 outputs
Outputs of similar age
#136,277
of 230,871 outputs
Outputs of similar age from Frontiers in Neuroengineering
#12
of 16 outputs
Altmetric has tracked 24,630,122 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 80 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 230,871 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.