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Rapid Dynamic Naturalistic Monitoring of Bradykinesia in Parkinson’s Disease Using a Wrist-Worn Accelerometer

Overview of attention for article published in Sensors, November 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
30 Mendeley
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Title
Rapid Dynamic Naturalistic Monitoring of Bradykinesia in Parkinson’s Disease Using a Wrist-Worn Accelerometer
Published in
Sensors, November 2021
DOI 10.3390/s21237876
Pubmed ID
Authors

Jeroen G. V. Habets, Christian Herff, Pieter L. Kubben, Mark L. Kuijf, Yasin Temel, Luc J. W. Evers, Bastiaan R. Bloem, Philip A. Starr, Ro’ee Gilron, Simon Little

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 10%
Researcher 3 10%
Student > Doctoral Student 2 7%
Other 2 7%
Professor 1 3%
Other 3 10%
Unknown 16 53%
Readers by discipline Count As %
Medicine and Dentistry 4 13%
Engineering 4 13%
Neuroscience 3 10%
Computer Science 2 7%
Sports and Recreations 1 3%
Other 0 0%
Unknown 16 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 13 December 2021.
All research outputs
#8,481,307
of 25,392,582 outputs
Outputs from Sensors
#4,757
of 24,325 outputs
Outputs of similar age
#179,127
of 514,574 outputs
Outputs of similar age from Sensors
#147
of 1,389 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 24,325 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 80% 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 514,574 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 64% of its contemporaries.
We're also able to compare this research output to 1,389 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.