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Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature

Overview of attention for article published in Frontiers in Aging Neuroscience, May 2021
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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 (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
12 X users

Citations

dimensions_citation
200 Dimensions

Readers on

mendeley
305 Mendeley
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Title
Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature
Published in
Frontiers in Aging Neuroscience, May 2021
DOI 10.3389/fnagi.2021.633752
Pubmed ID
Authors

Jie Mei, Christian Desrosiers, Johannes Frasnelli

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 305 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 305 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 10%
Researcher 30 10%
Student > Master 28 9%
Student > Bachelor 21 7%
Student > Doctoral Student 11 4%
Other 33 11%
Unknown 151 50%
Readers by discipline Count As %
Computer Science 45 15%
Engineering 35 11%
Medicine and Dentistry 15 5%
Neuroscience 13 4%
Biochemistry, Genetics and Molecular Biology 10 3%
Other 34 11%
Unknown 153 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 04 February 2022.
All research outputs
#4,711,087
of 23,053,169 outputs
Outputs from Frontiers in Aging Neuroscience
#2,265
of 4,856 outputs
Outputs of similar age
#114,494
of 438,012 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#81
of 176 outputs
Altmetric has tracked 23,053,169 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,856 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has gotten more attention than average, scoring higher than 53% 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 438,012 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 73% of its contemporaries.
We're also able to compare this research output to 176 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 54% of its contemporaries.