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Interaction-Based Feature Selection Algorithm Outperforms Polygenic Risk Score in Predicting Parkinson’s Disease Status

Overview of attention for article published in Frontiers in Genetics, October 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
25 Mendeley
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Title
Interaction-Based Feature Selection Algorithm Outperforms Polygenic Risk Score in Predicting Parkinson’s Disease Status
Published in
Frontiers in Genetics, October 2021
DOI 10.3389/fgene.2021.744557
Pubmed ID
Authors

Justin L. Cope, Hannes A. Baukmann, Jörn E. Klinger, Charles N. J. Ravarani, Erwin P. Böttinger, Stefan Konigorski, Marco F. Schmidt

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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 16%
Other 2 8%
Student > Bachelor 2 8%
Researcher 2 8%
Professor 1 4%
Other 2 8%
Unknown 12 48%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 28%
Computer Science 2 8%
Neuroscience 2 8%
Medicine and Dentistry 1 4%
Linguistics 1 4%
Other 0 0%
Unknown 12 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 09 November 2021.
All research outputs
#7,656,886
of 26,475,389 outputs
Outputs from Frontiers in Genetics
#2,339
of 14,022 outputs
Outputs of similar age
#143,658
of 448,076 outputs
Outputs of similar age from Frontiers in Genetics
#119
of 809 outputs
Altmetric has tracked 26,475,389 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 14,022 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 83% 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 448,076 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 67% of its contemporaries.
We're also able to compare this research output to 809 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.