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Cardiopulmonary Comorbidity, Radiomics and Machine Learning, and Therapeutic Regimens for a Cerebral fMRI Predictor Study in Psychotic Disorders

Overview of attention for article published in Neuroscience Bulletin, July 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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10 Dimensions

Readers on

mendeley
35 Mendeley
Title
Cardiopulmonary Comorbidity, Radiomics and Machine Learning, and Therapeutic Regimens for a Cerebral fMRI Predictor Study in Psychotic Disorders
Published in
Neuroscience Bulletin, July 2019
DOI 10.1007/s12264-019-00409-1
Pubmed ID
Authors

Xiao-Hui Wang, Angela Yu, Xia Zhu, Hong Yin, Long-Biao Cui

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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 14%
Student > Ph. D. Student 4 11%
Professor 3 9%
Student > Bachelor 3 9%
Other 1 3%
Other 2 6%
Unknown 17 49%
Readers by discipline Count As %
Medicine and Dentistry 4 11%
Neuroscience 4 11%
Psychology 3 9%
Unknown 24 69%
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 13 July 2019.
All research outputs
#18,024,509
of 23,151,828 outputs
Outputs from Neuroscience Bulletin
#446
of 789 outputs
Outputs of similar age
#242,440
of 346,549 outputs
Outputs of similar age from Neuroscience Bulletin
#10
of 18 outputs
Altmetric has tracked 23,151,828 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 789 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 36th percentile – i.e., 36% 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 346,549 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.