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Neuroanatomical Features That Predict Response to Electroconvulsive Therapy Combined With Antipsychotics in Schizophrenia: A Magnetic Resonance Imaging Study Using Radiomics Strategy

Overview of attention for article published in Frontiers in Psychiatry, May 2020
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Mentioned by

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2 X users

Citations

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13 Dimensions

Readers on

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27 Mendeley
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Title
Neuroanatomical Features That Predict Response to Electroconvulsive Therapy Combined With Antipsychotics in Schizophrenia: A Magnetic Resonance Imaging Study Using Radiomics Strategy
Published in
Frontiers in Psychiatry, May 2020
DOI 10.3389/fpsyt.2020.00456
Pubmed ID
Authors

Yi-Bin Xi, Long-Biao Cui, Jie Gong, Yu-Fei Fu, Xu-Sha Wu, Fan Guo, Xuejuan Yang, Chen Li, Xing-Rui Wang, Ping Li, Wei Qin, Hong Yin

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 15%
Student > Master 3 11%
Researcher 3 11%
Student > Bachelor 2 7%
Professor > Associate Professor 1 4%
Other 0 0%
Unknown 14 52%
Readers by discipline Count As %
Psychology 3 11%
Neuroscience 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Agricultural and Biological Sciences 1 4%
Mathematics 1 4%
Other 2 7%
Unknown 17 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 February 2023.
All research outputs
#15,181,211
of 23,351,247 outputs
Outputs from Frontiers in Psychiatry
#5,289
of 10,468 outputs
Outputs of similar age
#232,717
of 391,055 outputs
Outputs of similar age from Frontiers in Psychiatry
#221
of 373 outputs
Altmetric has tracked 23,351,247 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 44th percentile – i.e., 44% 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 391,055 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 373 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.