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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 (67th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
62 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Researcher 9 15%
Student > Master 8 13%
Student > Bachelor 4 6%
Other 3 5%
Other 5 8%
Unknown 23 37%
Readers by discipline Count As %
Nursing and Health Professions 8 13%
Neuroscience 8 13%
Medicine and Dentistry 6 10%
Psychology 3 5%
Engineering 3 5%
Other 6 10%
Unknown 28 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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
#6,595,156
of 24,089,711 outputs
Outputs from BioMedical Engineering OnLine
#167
of 849 outputs
Outputs of similar age
#114,815
of 354,648 outputs
Outputs of similar age from BioMedical Engineering OnLine
#2
of 11 outputs
Altmetric has tracked 24,089,711 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 849 research outputs from this source. They receive a mean Attention Score of 4.7. 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 354,648 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 67% of its contemporaries.
We're also able to compare this research output to 11 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 90% of its contemporaries.