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Science Translational Medicine

Article Metrics

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 (93rd percentile)

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
31 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

Twitter Demographics

The data shown below were collected from the profiles of 78 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Researcher 4 13%
Student > Bachelor 3 10%
Unspecified 3 10%
Student > Doctoral Student 3 10%
Other 1 3%
Unknown 11 35%
Readers by discipline Count As %
Engineering 7 23%
Neuroscience 5 16%
Unspecified 3 10%
Agricultural and Biological Sciences 1 3%
Immunology and Microbiology 1 3%
Other 3 10%
Unknown 11 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 563. 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 27 October 2022.
All research outputs
#33,432
of 22,588,733 outputs
Outputs from Science Translational Medicine
#135
of 5,075 outputs
Outputs of similar age
#1,035
of 341,484 outputs
Outputs of similar age from Science Translational Medicine
#7
of 92 outputs
Altmetric has tracked 22,588,733 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 5,075 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 80.9. 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 341,484 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 93% of its contemporaries.