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Automatic segmentation of infant cry signals using hidden Markov models

Overview of attention for article published in EURASIP Journal on Audio Speech, & Music Processing, January 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
38 Mendeley
Title
Automatic segmentation of infant cry signals using hidden Markov models
Published in
EURASIP Journal on Audio Speech, & Music Processing, January 2018
DOI 10.1186/s13636-018-0124-x
Authors

Gaurav Naithani, Jaana Kivinummi, Tuomas Virtanen, Outi Tammela, Mikko J. Peltola, Jukka M. Leppänen

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 18%
Student > Ph. D. Student 6 16%
Student > Doctoral Student 5 13%
Researcher 4 11%
Student > Bachelor 3 8%
Other 6 16%
Unknown 7 18%
Readers by discipline Count As %
Engineering 10 26%
Computer Science 8 21%
Psychology 3 8%
Neuroscience 2 5%
Medicine and Dentistry 1 3%
Other 3 8%
Unknown 11 29%

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 13 March 2018.
All research outputs
#8,861,327
of 16,376,831 outputs
Outputs from EURASIP Journal on Audio Speech, & Music Processing
#39
of 91 outputs
Outputs of similar age
#157,655
of 370,730 outputs
Outputs of similar age from EURASIP Journal on Audio Speech, & Music Processing
#1
of 1 outputs
Altmetric has tracked 16,376,831 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 91 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 57% 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 370,730 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 56% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them