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X Demographics
Mendeley readers
Attention Score in Context
| Title |
White-Matter Structural Connectivity in Relation to Humor Styles: An Exploratory Study
|
|---|---|
| Published in |
Frontiers in Psychology, September 2018
|
| DOI | 10.3389/fpsyg.2018.01654 |
| Pubmed ID | |
| Authors |
Ching-Lin Wu, Suyu Zhong, Yu-Chen Chan, Hsueh-Chih Chen, Yong He |
| Abstract |
To investigate the potential relationship between white matter (WM) microstructure and humor styles, diffusion tensor images of brain WM and humor style tendencies were obtained from thirty healthy adults. Using connectivity efficiency measures from graph theoretical analysis and controlling for the influence of gender, age, educational level, and the big five personality traits, we preliminarily examined the prediction of humor styles from brain network efficiency. The results showed that the local efficiency within particular brain networks positively predicted a self-enhancing humor style and negatively predicted an aggressive humor style. The node efficiency of the left superior temporal gyrus distinguished the benevolent or hostile way that individuals coped with interpersonal embarrassment. These findings from this exploratory study support the hypothesis that WM structure influences humor styles, and provide the initial evidence and implications regarding the relationship between biological mechanisms and mental health for future research. |
X Demographics
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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 24% |
| Other | 2 | 7% |
| Professor | 2 | 7% |
| Researcher | 2 | 7% |
| Student > Doctoral Student | 1 | 3% |
| Other | 4 | 14% |
| Unknown | 11 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 11 | 38% |
| Neuroscience | 4 | 14% |
| Computer Science | 1 | 3% |
| Linguistics | 1 | 3% |
| Unknown | 12 | 41% |
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 04 September 2018.
All research outputs
#18,349,015
of 23,577,761 outputs
Outputs from Frontiers in Psychology
#21,494
of 31,442 outputs
Outputs of similar age
#242,387
of 336,555 outputs
Outputs of similar age from Frontiers in Psychology
#559
of 737 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,442 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 25th percentile – i.e., 25% 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 336,555 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 737 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.