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Artifact characterization and mitigation techniques during concurrent sensing and stimulation using bidirectional deep brain stimulation platforms

Overview of attention for article published in Frontiers in Human Neuroscience, October 2022
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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12 X users

Citations

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2 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Artifact characterization and mitigation techniques during concurrent sensing and stimulation using bidirectional deep brain stimulation platforms
Published in
Frontiers in Human Neuroscience, October 2022
DOI 10.3389/fnhum.2022.1016379
Pubmed ID
Authors

Michaela E. Alarie, Nicole R. Provenza, Michelle Avendano-Ortega, Sarah A. McKay, Ayan S. Waite, Raissa K. Mathura, Jeffrey A. Herron, Sameer A. Sheth, David A. Borton, Wayne K. Goodman

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Student > Master 2 17%
Researcher 1 8%
Unspecified 1 8%
Unknown 6 50%
Readers by discipline Count As %
Engineering 3 25%
Neuroscience 1 8%
Agricultural and Biological Sciences 1 8%
Unknown 7 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 01 November 2022.
All research outputs
#3,390,041
of 23,577,654 outputs
Outputs from Frontiers in Human Neuroscience
#1,654
of 7,319 outputs
Outputs of similar age
#70,675
of 445,483 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#13
of 154 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,319 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done well, scoring higher than 77% 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 445,483 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 84% of its contemporaries.
We're also able to compare this research output to 154 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 91% of its contemporaries.