↓ Skip to main content

EZ Entropy: a software application for the entropy analysis of physiological time-series

Overview of attention for article published in BioMedical Engineering OnLine, March 2019
Altmetric Badge

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 (71st percentile)

Mentioned by

twitter
1 X user
wikipedia
2 Wikipedia pages

Readers on

mendeley
29 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
EZ Entropy: a software application for the entropy analysis of physiological time-series
Published in
BioMedical Engineering OnLine, March 2019
DOI 10.1186/s12938-019-0650-5
Pubmed ID
Authors

Peng Li

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 17%
Student > Ph. D. Student 5 17%
Researcher 4 14%
Professor 3 10%
Other 2 7%
Other 4 14%
Unknown 6 21%
Readers by discipline Count As %
Engineering 5 17%
Psychology 2 7%
Computer Science 2 7%
Medicine and Dentistry 2 7%
Sports and Recreations 2 7%
Other 4 14%
Unknown 12 41%
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 17 March 2023.
All research outputs
#7,219,862
of 23,549,388 outputs
Outputs from BioMedical Engineering OnLine
#184
of 838 outputs
Outputs of similar age
#133,528
of 353,120 outputs
Outputs of similar age from BioMedical Engineering OnLine
#4
of 14 outputs
Altmetric has tracked 23,549,388 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 838 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 76% 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 353,120 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 14 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 71% of its contemporaries.