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The Diagnostic Value of Radiomics-Based Machine Learning in Predicting the Grade of Meningiomas Using Conventional Magnetic Resonance Imaging: A Preliminary Study

Overview of attention for article published in Frontiers in oncology, December 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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62 Dimensions

Readers on

mendeley
56 Mendeley
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Title
The Diagnostic Value of Radiomics-Based Machine Learning in Predicting the Grade of Meningiomas Using Conventional Magnetic Resonance Imaging: A Preliminary Study
Published in
Frontiers in oncology, December 2019
DOI 10.3389/fonc.2019.01338
Pubmed ID
Authors

Chaoyue Chen, Xinyi Guo, Jian Wang, Wen Guo, Xuelei Ma, Jianguo Xu

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

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Lecturer 5 9%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Student > Ph. D. Student 3 5%
Other 7 13%
Unknown 23 41%
Readers by discipline Count As %
Medicine and Dentistry 17 30%
Physics and Astronomy 2 4%
Engineering 2 4%
Business, Management and Accounting 1 2%
Nursing and Health Professions 1 2%
Other 6 11%
Unknown 27 48%
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 11 January 2020.
All research outputs
#20,294,544
of 25,806,763 outputs
Outputs from Frontiers in oncology
#9,505
of 22,805 outputs
Outputs of similar age
#345,288
of 479,708 outputs
Outputs of similar age from Frontiers in oncology
#195
of 421 outputs
Altmetric has tracked 25,806,763 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,805 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 49th percentile – i.e., 49% 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 479,708 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 421 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.