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Research on imbalance machine learning methods for MRT1WI soft tissue sarcoma data

Overview of attention for article published in BMC Medical Imaging, August 2022
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Mentioned by

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1 X user

Citations

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5 Dimensions

Readers on

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15 Mendeley
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Title
Research on imbalance machine learning methods for MRT1WI soft tissue sarcoma data
Published in
BMC Medical Imaging, August 2022
DOI 10.1186/s12880-022-00876-5
Pubmed ID
Authors

Xuanxuan Liu, Li Guo, Hexiang Wang, Jia Guo, Shifeng Yang, Lisha Duan

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

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 13%
Student > Master 2 13%
Student > Ph. D. Student 2 13%
Student > Doctoral Student 1 7%
Student > Bachelor 1 7%
Other 0 0%
Unknown 7 47%
Readers by discipline Count As %
Engineering 2 13%
Computer Science 2 13%
Nursing and Health Professions 1 7%
Materials Science 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 8 53%
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 30 August 2022.
All research outputs
#21,364,089
of 23,861,036 outputs
Outputs from BMC Medical Imaging
#469
of 627 outputs
Outputs of similar age
#347,284
of 417,924 outputs
Outputs of similar age from BMC Medical Imaging
#19
of 29 outputs
Altmetric has tracked 23,861,036 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 627 research outputs from this source. They receive a mean Attention Score of 2.1. 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 417,924 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 29 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.