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Repair of Physiologic Time Series: Replacement of Anomalous Data Points to Preserve Fractal Exponents

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, February 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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1 X user
wikipedia
1 Wikipedia page

Citations

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1 Dimensions

Readers on

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3 Mendeley
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Title
Repair of Physiologic Time Series: Replacement of Anomalous Data Points to Preserve Fractal Exponents
Published in
Frontiers in Bioengineering and Biotechnology, February 2017
DOI 10.3389/fbioe.2017.00010
Pubmed ID
Authors

Mark Shelhamer, Steven B. Lowen

Abstract

Extraction of fractal exponents via the slope of the power spectrum is common in the analysis of many physiological time series. The fractal structure thus characterized is a manifestation of long-term correlations, for which the temporal order of the sample values is crucial. However, missing data points due to artifacts and dropouts are common in such data sets, which can seriously disrupt the computation of fractal parameters. We evaluated a number of methods for replacing missing data in time series to enable reliable extraction of the fractal exponent and make recommendations as to the preferred replacement method depending on the proportion of missing values and any a priori estimate of the fractal exponent.

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X Demographics

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Other 1 33%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Business, Management and Accounting 1 33%
Physics and Astronomy 1 33%
Medicine and Dentistry 1 33%
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 26 May 2021.
All research outputs
#7,272,754
of 22,955,959 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,180
of 6,685 outputs
Outputs of similar age
#117,556
of 310,778 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#6
of 25 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 6,685 research outputs from this source. They receive a mean Attention Score of 3.4. 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 310,778 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 61% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.