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MDCT-Based Radiomics Features for the Differentiation of Serous Borderline Ovarian Tumors and Serous Malignant Ovarian Tumors

Overview of attention for article published in Cancer Management and Research, January 2021
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Mentioned by

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1 X user

Citations

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17 Dimensions

Readers on

mendeley
7 Mendeley
Title
MDCT-Based Radiomics Features for the Differentiation of Serous Borderline Ovarian Tumors and Serous Malignant Ovarian Tumors
Published in
Cancer Management and Research, January 2021
DOI 10.2147/cmar.s284220
Pubmed ID
Authors

Xin-ping Yu, Lei Wang, Hai-yang Yu, Yu-wei Zou, Chang Wang, Jin-wen Jiao, Hao Hong, Shuai Zhang

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 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 %
Researcher 1 14%
Student > Master 1 14%
Unknown 5 71%
Readers by discipline Count As %
Medicine and Dentistry 1 14%
Engineering 1 14%
Unknown 5 71%
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 15 February 2021.
All research outputs
#20,685,434
of 23,281,392 outputs
Outputs from Cancer Management and Research
#1,409
of 2,021 outputs
Outputs of similar age
#429,303
of 503,266 outputs
Outputs of similar age from Cancer Management and Research
#58
of 109 outputs
Altmetric has tracked 23,281,392 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 2,021 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 503,266 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 109 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.