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Model-Based Evaluation of Closed-Loop Deep Brain Stimulation Controller to Adapt to Dynamic Changes in Reference Signal

Overview of attention for article published in Frontiers in Neuroscience, September 2019
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2 X users

Citations

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61 Mendeley
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Title
Model-Based Evaluation of Closed-Loop Deep Brain Stimulation Controller to Adapt to Dynamic Changes in Reference Signal
Published in
Frontiers in Neuroscience, September 2019
DOI 10.3389/fnins.2019.00956
Pubmed ID
Authors

Fei Su, Karthik Kumaravelu, Jiang Wang, Warren M. Grill

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Researcher 9 15%
Student > Master 7 11%
Student > Bachelor 5 8%
Professor 4 7%
Other 7 11%
Unknown 17 28%
Readers by discipline Count As %
Engineering 14 23%
Neuroscience 12 20%
Computer Science 4 7%
Agricultural and Biological Sciences 3 5%
Medicine and Dentistry 3 5%
Other 5 8%
Unknown 20 33%
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 13 September 2019.
All research outputs
#20,823,888
of 26,456,908 outputs
Outputs from Frontiers in Neuroscience
#9,085
of 11,883 outputs
Outputs of similar age
#257,233
of 354,768 outputs
Outputs of similar age from Frontiers in Neuroscience
#303
of 358 outputs
Altmetric has tracked 26,456,908 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,883 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 17th percentile – i.e., 17% 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 354,768 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 358 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.