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Grand Total EEG Score Can Differentiate Parkinson's Disease From Parkinson-Related Disorders

Overview of attention for article published in Frontiers in Neurology, April 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
47 Mendeley
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Title
Grand Total EEG Score Can Differentiate Parkinson's Disease From Parkinson-Related Disorders
Published in
Frontiers in Neurology, April 2019
DOI 10.3389/fneur.2019.00398
Pubmed ID
Authors

Ela Austria Barcelon, Takahiko Mukaino, Jun Yokoyama, Taira Uehara, Katsuya Ogata, Jun-ichi Kira, Shozo Tobimatsu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Other 6 13%
Student > Ph. D. Student 6 13%
Researcher 4 9%
Professor > Associate Professor 4 9%
Professor 4 9%
Other 14 30%
Unknown 9 19%
Readers by discipline Count As %
Neuroscience 10 21%
Medicine and Dentistry 10 21%
Engineering 3 6%
Computer Science 2 4%
Psychology 2 4%
Other 7 15%
Unknown 13 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 18 April 2019.
All research outputs
#4,057,805
of 23,142,049 outputs
Outputs from Frontiers in Neurology
#3,383
of 12,063 outputs
Outputs of similar age
#83,609
of 350,173 outputs
Outputs of similar age from Frontiers in Neurology
#111
of 356 outputs
Altmetric has tracked 23,142,049 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,063 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 71% 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 350,173 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 356 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.