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Science Translational Medicine

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 (95th percentile)

Citations

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15 Dimensions

Readers on

mendeley
55 Mendeley
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 80 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 16%
Researcher 8 15%
Student > Doctoral Student 5 9%
Student > Master 4 7%
Professor 3 5%
Other 4 7%
Unknown 22 40%
Readers by discipline Count As %
Neuroscience 9 16%
Engineering 8 15%
Computer Science 4 7%
Mathematics 1 2%
Immunology and Microbiology 1 2%
Other 6 11%
Unknown 26 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 610. 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
#35,707
of 24,889,544 outputs
Outputs from Science Translational Medicine
#129
of 5,361 outputs
Outputs of similar age
#1,135
of 427,642 outputs
Outputs of similar age from Science Translational Medicine
#5
of 93 outputs
Altmetric has tracked 24,889,544 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 5,361 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 86.1. 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 427,642 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 93 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 95% of its contemporaries.