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7T MRI and Computational Modeling Supports a Critical Role of Lead Location in Determining Outcomes for Deep Brain Stimulation: A Case Report

Overview of attention for article published in Frontiers in Human Neuroscience, February 2021
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
14 X users

Citations

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14 Dimensions

Readers on

mendeley
35 Mendeley
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Title
7T MRI and Computational Modeling Supports a Critical Role of Lead Location in Determining Outcomes for Deep Brain Stimulation: A Case Report
Published in
Frontiers in Human Neuroscience, February 2021
DOI 10.3389/fnhum.2021.631778
Pubmed ID
Authors

Lauren E. Schrock, Remi Patriat, Mojgan Goftari, Jiwon Kim, Matthew D. Johnson, Noam Harel, Jerrold L. Vitek

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 20%
Student > Ph. D. Student 4 11%
Student > Bachelor 4 11%
Other 3 9%
Student > Doctoral Student 2 6%
Other 3 9%
Unknown 12 34%
Readers by discipline Count As %
Neuroscience 6 17%
Engineering 3 9%
Medicine and Dentistry 3 9%
Computer Science 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 3 9%
Unknown 16 46%
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 09 March 2021.
All research outputs
#3,791,008
of 26,356,696 outputs
Outputs from Frontiers in Human Neuroscience
#1,742
of 7,818 outputs
Outputs of similar age
#105,445
of 553,857 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#32
of 181 outputs
Altmetric has tracked 26,356,696 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 7,818 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. 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 553,857 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 80% of its contemporaries.
We're also able to compare this research output to 181 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.