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Characterization of EEG Data Revealing Relationships With Cognitive and Motor Symptoms in Parkinson's Disease: A Systematic Review

Overview of attention for article published in Frontiers in Aging Neuroscience, November 2020
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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

Citations

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40 Dimensions

Readers on

mendeley
127 Mendeley
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Title
Characterization of EEG Data Revealing Relationships With Cognitive and Motor Symptoms in Parkinson's Disease: A Systematic Review
Published in
Frontiers in Aging Neuroscience, November 2020
DOI 10.3389/fnagi.2020.587396
Pubmed ID
Authors

Qing Wang, Lin Meng, Jun Pang, Xiaodong Zhu, Dong Ming

Timeline

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 127 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 14%
Researcher 13 10%
Student > Master 13 10%
Student > Doctoral Student 5 4%
Student > Bachelor 4 3%
Other 15 12%
Unknown 59 46%
Readers by discipline Count As %
Neuroscience 20 16%
Engineering 19 15%
Computer Science 6 5%
Psychology 6 5%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 11 9%
Unknown 63 50%
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 29 November 2020.
All research outputs
#7,537,928
of 23,263,851 outputs
Outputs from Frontiers in Aging Neuroscience
#2,698
of 4,924 outputs
Outputs of similar age
#161,055
of 415,874 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#97
of 155 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,924 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one is in the 45th percentile – i.e., 45% 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 415,874 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 155 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.