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MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis

Overview of attention for article published in IEEE Transactions on Multimedia, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 1,622)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
3 news outlets
twitter
1 X user
patent
1 patent

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
112 Mendeley
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Title
MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis
Published in
IEEE Transactions on Multimedia, January 2018
DOI 10.1109/tmm.2018.2798287
Authors

Paul Buitelaar, Ian D. Wood, Sapna Negi, Mihael Arcan, John P. McCrae, Andrejs Abele, Ccile Robin, Vladimir Andryushechkin, Housam Ziad, Hesam Sagha, Maximilian Schmitt, Bjrn W. Schuller, J. Fernando Snchez-Rada, Carlos A. Iglesias, Carlos Navarro, Andreas Giefer, Nicolaus Heise, Vincenzo Masucci, Francesco A. Danza, Ciro Caterino, Pavel Smr, Michal Hradi, Filip Povoln, Marek Klime, Pavel Matjka, Giovanni Tummarello

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

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 15%
Student > Master 15 13%
Researcher 11 10%
Student > Doctoral Student 9 8%
Student > Bachelor 9 8%
Other 15 13%
Unknown 36 32%
Readers by discipline Count As %
Computer Science 40 36%
Engineering 14 13%
Psychology 5 4%
Linguistics 3 3%
Business, Management and Accounting 2 2%
Other 7 6%
Unknown 41 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 June 2022.
All research outputs
#1,428,521
of 25,382,440 outputs
Outputs from IEEE Transactions on Multimedia
#7
of 1,622 outputs
Outputs of similar age
#33,375
of 450,332 outputs
Outputs of similar age from IEEE Transactions on Multimedia
#1
of 17 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,622 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 99% 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 450,332 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.