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Mendeley readers
Attention Score in Context
| Title |
Interference among the Processing of Facial Emotion, Face Race, and Face Gender
|
|---|---|
| Published in |
Frontiers in Psychology, October 2016
|
| DOI | 10.3389/fpsyg.2016.01700 |
| Pubmed ID | |
| Authors |
Yongna Li, Chi-Shing Tse |
| Abstract |
People can process multiple dimensions of facial properties simultaneously. Facial processing models are based on the processing of facial properties. The current study examined the processing of facial emotion, face race, and face gender using categorization tasks. The same set of Chinese, White and Black faces, each posing a neutral, happy or angry expression, was used in three experiments. Facial emotion interacted with face race in all the tasks. The interaction of face race and face gender was found in the race and gender categorization tasks, whereas the interaction of facial emotion and face gender was significant in the emotion and gender categorization tasks. These results provided evidence for a symmetric interaction between variant facial properties (emotion) and invariant facial properties (race and gender). |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| France | 1 | 3% |
| Unknown | 37 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 18% |
| Student > Ph. D. Student | 5 | 13% |
| Researcher | 4 | 10% |
| Student > Master | 4 | 10% |
| Student > Doctoral Student | 3 | 8% |
| Other | 10 | 26% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 16 | 41% |
| Medicine and Dentistry | 3 | 8% |
| Neuroscience | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 11 | 28% |
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 28 October 2016.
All research outputs
#17,929,322
of 26,249,293 outputs
Outputs from Frontiers in Psychology
#21,839
of 35,123 outputs
Outputs of similar age
#210,297
of 323,437 outputs
Outputs of similar age from Frontiers in Psychology
#329
of 455 outputs
Altmetric has tracked 26,249,293 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 35,123 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 31st percentile – i.e., 31% 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 323,437 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 455 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.