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An Evaluation of Emotion Units and Feature Types for Real-Time Speech Emotion Recognition

Overview of attention for article published in KI - Künstliche Intelligenz, May 2011
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1 X user

Citations

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14 Mendeley
Title
An Evaluation of Emotion Units and Feature Types for Real-Time Speech Emotion Recognition
Published in
KI - Künstliche Intelligenz, May 2011
DOI 10.1007/s13218-011-0107-x
Authors

Thurid Vogt, Elisabeth André

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

Geographical breakdown

Country Count As %
Germany 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 36%
Student > Bachelor 2 14%
Student > Postgraduate 2 14%
Student > Doctoral Student 1 7%
Student > Ph. D. Student 1 7%
Other 3 21%
Readers by discipline Count As %
Computer Science 9 64%
Business, Management and Accounting 2 14%
Medicine and Dentistry 1 7%
Engineering 1 7%
Unknown 1 7%
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 08 December 2011.
All research outputs
#15,548,510
of 23,108,064 outputs
Outputs from KI - Künstliche Intelligenz
#76
of 127 outputs
Outputs of similar age
#84,551
of 111,143 outputs
Outputs of similar age from KI - Künstliche Intelligenz
#1
of 2 outputs
Altmetric has tracked 23,108,064 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 127 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 20th percentile – i.e., 20% 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 111,143 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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