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Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection

Overview of attention for article published in BioMedical Engineering OnLine, January 2007
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
450 Dimensions

Readers on

mendeley
255 Mendeley
citeulike
1 CiteULike
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Title
Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection
Published in
BioMedical Engineering OnLine, January 2007
DOI 10.1186/1475-925x-6-23
Pubmed ID
Authors

Max A Little, Patrick E McSharry, Stephen J Roberts, Declan AE Costello, Irene M Moroz

Mendeley readers

The data shown below were compiled from readership statistics for 255 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
United Kingdom 4 2%
Chile 2 <1%
Norway 2 <1%
Colombia 2 <1%
Germany 2 <1%
France 1 <1%
Malaysia 1 <1%
Netherlands 1 <1%
Other 7 3%
Unknown 228 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 24%
Researcher 39 15%
Student > Master 37 15%
Student > Bachelor 23 9%
Student > Doctoral Student 14 5%
Other 44 17%
Unknown 37 15%
Readers by discipline Count As %
Engineering 69 27%
Computer Science 56 22%
Medicine and Dentistry 13 5%
Neuroscience 9 4%
Agricultural and Biological Sciences 8 3%
Other 45 18%
Unknown 55 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 August 2021.
All research outputs
#6,557,460
of 20,225,181 outputs
Outputs from BioMedical Engineering OnLine
#179
of 770 outputs
Outputs of similar age
#114,802
of 312,486 outputs
Outputs of similar age from BioMedical Engineering OnLine
#9
of 35 outputs
Altmetric has tracked 20,225,181 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 770 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 65% 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 312,486 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 55% of its contemporaries.
We're also able to compare this research output to 35 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 74% of its contemporaries.