↓ Skip to main content

Arabic discourse analysis based on acoustic, prosodic and phonetic modeling: elocution evaluation, speech classification and pathological speech correction

Overview of attention for article published in International Journal of Speech Technology, October 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
12 Mendeley
Title
Arabic discourse analysis based on acoustic, prosodic and phonetic modeling: elocution evaluation, speech classification and pathological speech correction
Published in
International Journal of Speech Technology, October 2018
DOI 10.1007/s10772-018-09566-6
Authors

Mohsen Maraoui, Naim Terbeh, Mounir Zrigui

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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 8%
Student > Doctoral Student 1 8%
Student > Bachelor 1 8%
Student > Ph. D. Student 1 8%
Professor > Associate Professor 1 8%
Other 1 8%
Unknown 6 50%
Readers by discipline Count As %
Arts and Humanities 2 17%
Linguistics 2 17%
Computer Science 1 8%
Psychology 1 8%
Engineering 1 8%
Other 0 0%
Unknown 5 42%
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 15 December 2018.
All research outputs
#15,554,476
of 23,117,738 outputs
Outputs from International Journal of Speech Technology
#68
of 81 outputs
Outputs of similar age
#219,852
of 350,992 outputs
Outputs of similar age from International Journal of Speech Technology
#3
of 3 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 81 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 13th percentile – i.e., 13% 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 350,992 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.