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Automated Classification of Dyadic Conversation Scenarios Using Autonomic Nervous System Responses

Overview of attention for article published in IEEE Transactions on Affective Computing, January 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 331)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
47 news outlets

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Automated Classification of Dyadic Conversation Scenarios Using Autonomic Nervous System Responses
Published in
IEEE Transactions on Affective Computing, January 2023
DOI 10.1109/taffc.2023.3236265
Pubmed ID
Authors

Iman Chatterjee, Maja Goršič, Mohammad S. Hossain, Joshua D. Clapp, Vesna D. Novak

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 22%
Student > Bachelor 1 11%
Student > Ph. D. Student 1 11%
Unknown 5 56%
Readers by discipline Count As %
Social Sciences 2 22%
Computer Science 1 11%
Business, Management and Accounting 1 11%
Psychology 1 11%
Engineering 1 11%
Other 0 0%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 370. 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 March 2024.
All research outputs
#85,531
of 25,516,314 outputs
Outputs from IEEE Transactions on Affective Computing
#1
of 331 outputs
Outputs of similar age
#2,261
of 476,977 outputs
Outputs of similar age from IEEE Transactions on Affective Computing
#1
of 7 outputs
Altmetric has tracked 25,516,314 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 331 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. 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 476,977 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 99% of its contemporaries.
We're also able to compare this research output to 7 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