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Multifractal detrended fluctuation analysis of human gait diseases

Overview of attention for article published in Frontiers in Physiology, January 2013
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Title
Multifractal detrended fluctuation analysis of human gait diseases
Published in
Frontiers in Physiology, January 2013
DOI 10.3389/fphys.2013.00274
Pubmed ID
Authors

Srimonti Dutta, Dipak Ghosh, Sucharita Chatterjee

Abstract

In this paper multifractal detrended fluctuation analysis (MFDFA) is used to study the human gait time series for normal and diseased sets. It is observed that long range correlation is primarily responsible for the origin of multifractality. The study reveals that the degree of multifractality is more for normal set compared to diseased set. However, the method fails to distinguish between the two diseased sets.

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The data shown below were collected from the profile of 1 X user 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Japan 1 1%
India 1 1%
Spain 1 1%
Unknown 72 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Student > Master 13 17%
Researcher 9 12%
Student > Bachelor 8 10%
Professor > Associate Professor 8 10%
Other 11 14%
Unknown 14 18%
Readers by discipline Count As %
Engineering 10 13%
Agricultural and Biological Sciences 7 9%
Psychology 6 8%
Sports and Recreations 6 8%
Computer Science 5 6%
Other 23 30%
Unknown 20 26%
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 07 October 2013.
All research outputs
#20,205,224
of 22,725,280 outputs
Outputs from Frontiers in Physiology
#9,312
of 13,535 outputs
Outputs of similar age
#248,792
of 280,762 outputs
Outputs of similar age from Frontiers in Physiology
#243
of 398 outputs
Altmetric has tracked 22,725,280 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 13,535 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. 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 280,762 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 398 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.