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Towards robust voice pathology detection

Overview of attention for article published in Neural Computing and Applications, April 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
43 Mendeley
Title
Towards robust voice pathology detection
Published in
Neural Computing and Applications, April 2018
DOI 10.1007/s00521-018-3464-7
Authors

Pavol Harar, Zoltan Galaz, Jesus B. Alonso-Hernandez, Jiri Mekyska, Radim Burget, Zdenek Smekal

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 21%
Student > Bachelor 3 7%
Lecturer 3 7%
Student > Ph. D. Student 3 7%
Researcher 2 5%
Other 3 7%
Unknown 20 47%
Readers by discipline Count As %
Computer Science 10 23%
Engineering 7 16%
Linguistics 1 2%
Earth and Planetary Sciences 1 2%
Nursing and Health Professions 1 2%
Other 2 5%
Unknown 21 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 July 2019.
All research outputs
#15,822,813
of 24,099,692 outputs
Outputs from Neural Computing and Applications
#435
of 2,453 outputs
Outputs of similar age
#202,677
of 332,799 outputs
Outputs of similar age from Neural Computing and Applications
#11
of 21 outputs
Altmetric has tracked 24,099,692 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,453 research outputs from this source. They receive a mean Attention Score of 1.3. This one has done well, scoring higher than 79% 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 332,799 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 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 52% of its contemporaries.