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Deep Learning-Based Deep Brain Stimulation Targeting and Clinical Applications

Overview of attention for article published in Frontiers in Neuroscience, October 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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11 X users
patent
1 patent

Citations

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25 Dimensions

Readers on

mendeley
84 Mendeley
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Title
Deep Learning-Based Deep Brain Stimulation Targeting and Clinical Applications
Published in
Frontiers in Neuroscience, October 2019
DOI 10.3389/fnins.2019.01128
Pubmed ID
Authors

Seong-Cheol Park, Joon Hyuk Cha, Seonhwa Lee, Wooyoung Jang, Chong Sik Lee, Jung Kyo Lee

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 13%
Student > Master 10 12%
Researcher 8 10%
Student > Bachelor 7 8%
Student > Doctoral Student 4 5%
Other 10 12%
Unknown 34 40%
Readers by discipline Count As %
Medicine and Dentistry 11 13%
Computer Science 9 11%
Neuroscience 7 8%
Engineering 5 6%
Psychology 3 4%
Other 11 13%
Unknown 38 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 07 July 2022.
All research outputs
#4,487,716
of 26,557,909 outputs
Outputs from Frontiers in Neuroscience
#3,590
of 11,938 outputs
Outputs of similar age
#82,872
of 379,122 outputs
Outputs of similar age from Frontiers in Neuroscience
#102
of 366 outputs
Altmetric has tracked 26,557,909 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,938 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has gotten more attention than average, scoring higher than 69% 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 379,122 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 78% of its contemporaries.
We're also able to compare this research output to 366 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.