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The Influence of Annotation, Corpus Design, and Evaluation on the Outcome of Automatic Classification of Human Emotions

Overview of attention for article published in Frontiers in ICT, November 2016
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13 Mendeley
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Title
The Influence of Annotation, Corpus Design, and Evaluation on the Outcome of Automatic Classification of Human Emotions
Published in
Frontiers in ICT, November 2016
DOI 10.3389/fict.2016.00027
Authors

Markus Kächele, Martin Schels, Friedhelm Schwenker

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

Geographical breakdown

Country Count As %
United States 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Professor 3 23%
Student > Doctoral Student 2 15%
Student > Master 1 8%
Researcher 1 8%
Other 0 0%
Unknown 2 15%
Readers by discipline Count As %
Computer Science 7 54%
Engineering 2 15%
Psychology 1 8%
Unknown 3 23%
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 30 November 2016.
All research outputs
#18,483,671
of 22,903,988 outputs
Outputs from Frontiers in ICT
#95
of 142 outputs
Outputs of similar age
#304,256
of 415,970 outputs
Outputs of similar age from Frontiers in ICT
#8
of 12 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 142 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 1st percentile – i.e., 1% 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 415,970 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.