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Multimodal MRI-Based Radiomics-Clinical Model for Preoperatively Differentiating Concurrent Endometrial Carcinoma From Atypical Endometrial Hyperplasia

Overview of attention for article published in Frontiers in oncology, May 2022
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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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9 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Multimodal MRI-Based Radiomics-Clinical Model for Preoperatively Differentiating Concurrent Endometrial Carcinoma From Atypical Endometrial Hyperplasia
Published in
Frontiers in oncology, May 2022
DOI 10.3389/fonc.2022.887546
Pubmed ID
Authors

Jieying Zhang, Qi Zhang, Tingting Wang, Yan Song, Xiaoduo Yu, Lizhi Xie, Yan Chen, Han Ouyang

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 14%
Other 1 14%
Unknown 5 71%
Readers by discipline Count As %
Nursing and Health Professions 1 14%
Agricultural and Biological Sciences 1 14%
Medicine and Dentistry 1 14%
Unknown 4 57%
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 27 May 2022.
All research outputs
#20,930,935
of 25,707,225 outputs
Outputs from Frontiers in oncology
#11,510
of 22,767 outputs
Outputs of similar age
#333,094
of 445,304 outputs
Outputs of similar age from Frontiers in oncology
#744
of 1,609 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,767 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 28th percentile – i.e., 28% 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 445,304 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,609 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.