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The Similarity Between Chinese Five-Pattern and Eysenck’s Personality Traits: Evidence From Theory and Resting-State fMRI

Overview of attention for article published in Frontiers in Human Neuroscience, February 2020
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1 X user

Citations

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Title
The Similarity Between Chinese Five-Pattern and Eysenck’s Personality Traits: Evidence From Theory and Resting-State fMRI
Published in
Frontiers in Human Neuroscience, February 2020
DOI 10.3389/fnhum.2020.00038
Pubmed ID
Authors

WenTao Zhao, LiPing Song, Jian Du, XiaoZhen Li, Hao Wang, Long Cheng, Jing Li, Liang Zhang, XinRong Li, QiuLi Yang, Yong Xu

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 16%
Student > Master 3 12%
Student > Bachelor 2 8%
Researcher 2 8%
Student > Doctoral Student 1 4%
Other 1 4%
Unknown 12 48%
Readers by discipline Count As %
Psychology 5 20%
Neuroscience 3 12%
Computer Science 2 8%
Medicine and Dentistry 1 4%
Nursing and Health Professions 1 4%
Other 0 0%
Unknown 13 52%
Attention Score in Context

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 25 February 2020.
All research outputs
#20,607,141
of 23,195,584 outputs
Outputs from Frontiers in Human Neuroscience
#6,602
of 7,240 outputs
Outputs of similar age
#382,222
of 456,716 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#114
of 122 outputs
Altmetric has tracked 23,195,584 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 7,240 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 1st percentile – i.e., 1% 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 456,716 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 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.