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Proposal of a new conceptual gait model for patients with Parkinson’s disease based on factor analysis

Overview of attention for article published in BioMedical Engineering OnLine, June 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
55 Mendeley
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Title
Proposal of a new conceptual gait model for patients with Parkinson’s disease based on factor analysis
Published in
BioMedical Engineering OnLine, June 2019
DOI 10.1186/s12938-019-0689-3
Pubmed ID
Authors

Ilaria Arcolin, Stefano Corna, Marica Giardini, Andrea Giordano, Antonio Nardone, Marco Godi

Twitter Demographics

The data shown below were collected from the profiles of 7 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 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 > Master 8 15%
Researcher 7 13%
Student > Ph. D. Student 7 13%
Student > Bachelor 5 9%
Other 3 5%
Other 5 9%
Unknown 20 36%
Readers by discipline Count As %
Nursing and Health Professions 8 15%
Medicine and Dentistry 6 11%
Neuroscience 6 11%
Psychology 3 5%
Computer Science 2 4%
Other 7 13%
Unknown 23 42%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 19 July 2022.
All research outputs
#5,561,792
of 21,830,709 outputs
Outputs from BioMedical Engineering OnLine
#145
of 803 outputs
Outputs of similar age
#91,026
of 289,355 outputs
Outputs of similar age from BioMedical Engineering OnLine
#1
of 1 outputs
Altmetric has tracked 21,830,709 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 803 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 81% 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 289,355 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 68% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them