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MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis

Overview of attention for article published in IEEE Transactions on Multimedia, September 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 (#5 of 659)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
3 news outlets
twitter
1 tweeter

Citations

dimensions_citation
5 Dimensions

Readers on

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

Paul Buitelaar, Ian D. Wood, Sapna Negi, Mihael Arcan, John P. McCrae, Andrejs Abele, Cecile Robin, Vladimir Andryushechkin, Housam Ziad, Hesam Sagha, Maximilian Schmitt, Bjorn W. Schuller, J. Fernando Sanchez-Rada, Carlos A. Iglesias, Carlos Navarro, Andreas Giefer, Nicolaus Heise, Vincenzo Masucci, Francesco A. Danza, Ciro Caterino, Pavel Smrz, Michal Hradis, Filip Povolny, Marek Klimes, Pavel Matejka, Giovanni Tummarello

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 18%
Researcher 9 15%
Student > Doctoral Student 7 11%
Student > Master 7 11%
Student > Bachelor 7 11%
Other 10 16%
Unknown 11 18%
Readers by discipline Count As %
Computer Science 26 42%
Engineering 8 13%
Psychology 4 6%
Business, Management and Accounting 2 3%
Linguistics 2 3%
Other 4 6%
Unknown 16 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 19 January 2019.
All research outputs
#736,880
of 14,157,939 outputs
Outputs from IEEE Transactions on Multimedia
#5
of 659 outputs
Outputs of similar age
#26,541
of 274,390 outputs
Outputs of similar age from IEEE Transactions on Multimedia
#1
of 5 outputs
Altmetric has tracked 14,157,939 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 659 research outputs from this source. They receive a mean Attention Score of 4.1. 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 274,390 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 90% of its contemporaries.
We're also able to compare this research output to 5 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