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Attention Score in Context
| Title |
A new approach for the quantification of synchrony of multivariate non-stationary psychophysiological variables during emotion eliciting stimuli
|
|---|---|
| Published in |
Frontiers in Psychology, January 2015
|
| DOI | 10.3389/fpsyg.2014.01507 |
| Pubmed ID | |
| Authors |
Augustin Kelava, Michael Muma, Marlene Deja, Jack Y. Dagdagan, Abdelhak M. Zoubir |
| Abstract |
Emotion eliciting situations are accompanied by changes of multiple variables associated with subjective, physiological and behavioral responses. The quantification of the overall simultaneous synchrony of psychophysiological reactions plays a major role in emotion theories and has received increased attention in recent years. From a psychometric perspective, the reactions represent multivariate non-stationary intra-individual time series. In this paper, a new time-frequency based latent variable approach for the quantification of the synchrony of the responses is presented. The approach is applied to empirical data, collected during an emotion eliciting situation. The results are compared with a complementary inter-individual approach of Hsieh et al. (2011). Finally, the proposed approach is discussed in the context of emotion theories, and possible future applications and limitations are provided. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Unknown | 38 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 25% |
| Student > Bachelor | 7 | 18% |
| Researcher | 7 | 18% |
| Student > Master | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 11 | 28% |
| Neuroscience | 4 | 10% |
| Computer Science | 4 | 10% |
| Engineering | 3 | 8% |
| Medicine and Dentistry | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 8 | 20% |
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 20 January 2015.
All research outputs
#20,249,662
of 22,778,347 outputs
Outputs from Frontiers in Psychology
#24,006
of 29,693 outputs
Outputs of similar age
#295,809
of 352,028 outputs
Outputs of similar age from Frontiers in Psychology
#364
of 394 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,693 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 394 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.