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Machine learning model comparison for freezing of gait prediction in advanced Parkinson’s disease

Overview of attention for article published in Frontiers in Aging Neuroscience, June 2024
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Title
Machine learning model comparison for freezing of gait prediction in advanced Parkinson’s disease
Published in
Frontiers in Aging Neuroscience, June 2024
DOI 10.3389/fnagi.2024.1431280
Authors

Jeremy Watts, Martin Niethammer, Anahita Khojandi, Ritesh Ramdhani

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 June 2024.
All research outputs
#23,526,724
of 26,194,269 outputs
Outputs from Frontiers in Aging Neuroscience
#5,106
of 5,649 outputs
Outputs of similar age
#119,028
of 150,046 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#28
of 35 outputs
Altmetric has tracked 26,194,269 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,649 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 150,046 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.