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Predicting deep-brain stimulation frequencies to suppress pathological population oscillations in a network model of Parkinson's disease

Overview of attention for article published in BMC Neuroscience, July 2013
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1 Facebook page

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6 Mendeley
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Title
Predicting deep-brain stimulation frequencies to suppress pathological population oscillations in a network model of Parkinson's disease
Published in
BMC Neuroscience, July 2013
DOI 10.1186/1471-2202-14-s1-p291
Authors

Abbey B Holt, Theoden I Netoff

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor > Associate Professor 1 17%
Researcher 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Neuroscience 2 33%
Chemical Engineering 1 17%
Chemistry 1 17%
Computer Science 1 17%
Unknown 1 17%
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 11 April 2014.
All research outputs
#20,264,045
of 22,794,367 outputs
Outputs from BMC Neuroscience
#1,054
of 1,244 outputs
Outputs of similar age
#170,519
of 194,343 outputs
Outputs of similar age from BMC Neuroscience
#43
of 48 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,244 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% 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 194,343 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.