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Phase-Dependent Suppression of Beta Oscillations in Parkinson's Disease Patients

Overview of attention for article published in Journal of Neuroscience, December 2018
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
1 news outlet
twitter
17 X users
patent
1 patent

Readers on

mendeley
205 Mendeley
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Title
Phase-Dependent Suppression of Beta Oscillations in Parkinson's Disease Patients
Published in
Journal of Neuroscience, December 2018
DOI 10.1523/jneurosci.1913-18.2018
Pubmed ID
Authors

Abbey B. Holt, Eszter Kormann, Alessandro Gulberti, Monika Pötter-Nerger, Colin G. McNamara, Hayriye Cagnan, Magdalena K. Baaske, Simon Little, Johannes A. Köppen, Carsten Buhmann, Manfred Westphal, Christian Gerloff, Andreas K. Engel, Peter Brown, Wolfgang Hamel, Christian K.E. Moll, Andrew Sharott

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 205 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 21%
Researcher 36 18%
Student > Master 25 12%
Student > Bachelor 16 8%
Student > Doctoral Student 14 7%
Other 28 14%
Unknown 43 21%
Readers by discipline Count As %
Neuroscience 66 32%
Engineering 23 11%
Medicine and Dentistry 14 7%
Agricultural and Biological Sciences 8 4%
Unspecified 5 2%
Other 23 11%
Unknown 66 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 10 February 2022.
All research outputs
#1,665,300
of 25,837,817 outputs
Outputs from Journal of Neuroscience
#2,562
of 24,600 outputs
Outputs of similar age
#37,137
of 449,616 outputs
Outputs of similar age from Journal of Neuroscience
#53
of 220 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,600 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done well, scoring higher than 88% 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 449,616 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 91% of its contemporaries.
We're also able to compare this research output to 220 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.