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Support Vector Machine Classification of Obsessive-Compulsive Disorder Based on Whole-Brain Volumetry and Diffusion Tensor Imaging

Overview of attention for article published in Frontiers in Psychiatry, October 2018
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1 X user

Citations

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Title
Support Vector Machine Classification of Obsessive-Compulsive Disorder Based on Whole-Brain Volumetry and Diffusion Tensor Imaging
Published in
Frontiers in Psychiatry, October 2018
DOI 10.3389/fpsyt.2018.00524
Pubmed ID
Authors

Cong Zhou, Yuqi Cheng, Liangliang Ping, Jian Xu, Zonglin Shen, Linling Jiang, Li Shi, Shuran Yang, Yi Lu, Xiufeng 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 17%
Student > Ph. D. Student 7 15%
Student > Bachelor 5 11%
Lecturer 2 4%
Student > Doctoral Student 2 4%
Other 6 13%
Unknown 16 35%
Readers by discipline Count As %
Psychology 8 17%
Medicine and Dentistry 5 11%
Neuroscience 4 9%
Nursing and Health Professions 3 7%
Biochemistry, Genetics and Molecular Biology 3 7%
Other 6 13%
Unknown 17 37%
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 23 October 2018.
All research outputs
#20,537,234
of 23,108,064 outputs
Outputs from Frontiers in Psychiatry
#7,861
of 10,222 outputs
Outputs of similar age
#304,901
of 350,381 outputs
Outputs of similar age from Frontiers in Psychiatry
#206
of 244 outputs
Altmetric has tracked 23,108,064 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 10,222 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 350,381 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 244 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.