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XGboost Prediction Model Based on 3.0T Diffusion Kurtosis Imaging Improves the Diagnostic Accuracy of MRI BiRADS 4 Masses

Overview of attention for article published in Frontiers in oncology, March 2022
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1 X user

Citations

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3 Dimensions

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16 Mendeley
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Title
XGboost Prediction Model Based on 3.0T Diffusion Kurtosis Imaging Improves the Diagnostic Accuracy of MRI BiRADS 4 Masses
Published in
Frontiers in oncology, March 2022
DOI 10.3389/fonc.2022.833680
Pubmed ID
Authors

Wan Tang, Han Zhou, Tianhong Quan, Xiaoyan Chen, Huanian Zhang, Yan Lin, Renhua Wu

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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.
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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 > Master 3 19%
Student > Doctoral Student 2 13%
Student > Bachelor 1 6%
Unknown 10 63%
Readers by discipline Count As %
Medicine and Dentistry 2 13%
Computer Science 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unknown 12 75%
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 17 March 2022.
All research outputs
#23,596,102
of 26,268,316 outputs
Outputs from Frontiers in oncology
#16,597
of 22,956 outputs
Outputs of similar age
#400,034
of 469,062 outputs
Outputs of similar age from Frontiers in oncology
#970
of 1,539 outputs
Altmetric has tracked 26,268,316 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 22,956 research outputs from this source. They receive a mean Attention Score of 3.0. 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 469,062 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 1,539 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.