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The characteristics of pallidal low-frequency and beta bursts could help implementing adaptive brain stimulation in the parkinsonian and dystonic internal globus pallidus

Overview of attention for article published in Neurobiology of Disease, September 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Readers on

mendeley
95 Mendeley
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Title
The characteristics of pallidal low-frequency and beta bursts could help implementing adaptive brain stimulation in the parkinsonian and dystonic internal globus pallidus
Published in
Neurobiology of Disease, September 2018
DOI 10.1016/j.nbd.2018.09.014
Pubmed ID
Authors

Dan Piña-Fuentes, Jonathan C. van Zijl, J. Marc C. van Dijk, Simon Little, Gerd Tinkhauser, D.L. Marinus Oterdoom, Marina A.J. Tijssen, Martijn Beudel

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 17%
Researcher 15 16%
Student > Master 9 9%
Other 7 7%
Student > Bachelor 5 5%
Other 18 19%
Unknown 25 26%
Readers by discipline Count As %
Neuroscience 25 26%
Medicine and Dentistry 14 15%
Engineering 9 9%
Agricultural and Biological Sciences 4 4%
Unspecified 4 4%
Other 7 7%
Unknown 32 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 February 2019.
All research outputs
#8,463,388
of 25,837,817 outputs
Outputs from Neurobiology of Disease
#1,815
of 3,461 outputs
Outputs of similar age
#136,216
of 351,465 outputs
Outputs of similar age from Neurobiology of Disease
#36
of 60 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 3,461 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 46th percentile – i.e., 46% 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 351,465 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.