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Optimal deep brain stimulation of the subthalamic nucleus—a computational study

Overview of attention for article published in Journal of Computational Neuroscience, May 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 329)
  • High Attention Score compared to outputs of the same age (95th percentile)

Mentioned by

news
1 news outlet
patent
14 patents

Citations

dimensions_citation
93 Dimensions

Readers on

mendeley
119 Mendeley
Title
Optimal deep brain stimulation of the subthalamic nucleus—a computational study
Published in
Journal of Computational Neuroscience, May 2007
DOI 10.1007/s10827-007-0031-0
Pubmed ID
Authors

Xiao-Jiang Feng, Eric Shea-Brown, Brian Greenwald, Robert Kosut, Herschel Rabitz

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
United Kingdom 3 3%
Netherlands 1 <1%
Turkey 1 <1%
Italy 1 <1%
Unknown 108 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 27%
Researcher 27 23%
Professor 10 8%
Student > Master 8 7%
Professor > Associate Professor 7 6%
Other 21 18%
Unknown 14 12%
Readers by discipline Count As %
Engineering 31 26%
Neuroscience 16 13%
Agricultural and Biological Sciences 16 13%
Medicine and Dentistry 14 12%
Mathematics 7 6%
Other 16 13%
Unknown 19 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 04 October 2022.
All research outputs
#1,892,322
of 25,374,917 outputs
Outputs from Journal of Computational Neuroscience
#8
of 329 outputs
Outputs of similar age
#3,972
of 86,584 outputs
Outputs of similar age from Journal of Computational Neuroscience
#1
of 4 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 329 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 97% 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 86,584 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them