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Identifying Depressed Essential Tremor Using Resting-State Voxel-Wise Global Brain Connectivity: A Multivariate Pattern Analysis

Overview of attention for article published in Frontiers in Human Neuroscience, October 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Identifying Depressed Essential Tremor Using Resting-State Voxel-Wise Global Brain Connectivity: A Multivariate Pattern Analysis
Published in
Frontiers in Human Neuroscience, October 2021
DOI 10.3389/fnhum.2021.736155
Pubmed ID
Authors

Yufen Li, Li Tao, Huiyue Chen, Hansheng Wang, Xiaoyu Zhang, Xueyan Zhang, Xiyue Duan, Zhou Fang, Qin Li, Wanlin He, Fajin Lv, Jin Luo, Zheng Xiao, Jun Cao, Weidong Fang

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 19%
Student > Ph. D. Student 2 13%
Other 1 6%
Student > Master 1 6%
Unknown 9 56%
Readers by discipline Count As %
Psychology 3 19%
Computer Science 1 6%
Medicine and Dentistry 1 6%
Engineering 1 6%
Unknown 10 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 January 2022.
All research outputs
#12,978,017
of 22,971,207 outputs
Outputs from Frontiers in Human Neuroscience
#3,608
of 7,181 outputs
Outputs of similar age
#170,723
of 432,174 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#67
of 182 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,181 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 48th percentile – i.e., 48% 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 432,174 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.