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Monitoring gait at home with radio waves in Parkinson’s disease: A marker of severity, progression, and medication response

Overview of attention for article published in Science Translational Medicine, September 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Citations

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25 Dimensions

Readers on

mendeley
66 Mendeley
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Title
Monitoring gait at home with radio waves in Parkinson’s disease: A marker of severity, progression, and medication response
Published in
Science Translational Medicine, September 2022
DOI 10.1126/scitranslmed.adc9669
Pubmed ID
Authors

Yingcheng Liu, Guo Zhang, Christopher G Tarolli, Rumen Hristov, Stella Jensen-Roberts, Emma M Waddell, Taylor L Myers, Meghan E Pawlik, Julia M Soto, Renee M Wilson, Yuzhe Yang, Timothy Nordahl, Karlo J Lizarraga, Jamie L Adams, Ruth B Schneider, Karl Kieburtz, Terry Ellis, E Ray Dorsey, Dina Katabi

X Demographics

X Demographics

The data shown below were collected from the profiles of 79 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 15%
Student > Ph. D. Student 9 14%
Student > Doctoral Student 6 9%
Student > Master 4 6%
Student > Bachelor 3 5%
Other 10 15%
Unknown 24 36%
Readers by discipline Count As %
Neuroscience 11 17%
Engineering 8 12%
Computer Science 5 8%
Unspecified 3 5%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 9 14%
Unknown 28 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 609. 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 15 July 2023.
All research outputs
#37,076
of 25,392,582 outputs
Outputs from Science Translational Medicine
#132
of 5,435 outputs
Outputs of similar age
#1,177
of 434,855 outputs
Outputs of similar age from Science Translational Medicine
#6
of 92 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,435 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 86.6. This one has done particularly well, scoring higher than 97% 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 434,855 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 99% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.