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A predictive model based on site-specific risk factors of recurrence regions in endometrial cancer patients

Overview of attention for article published in BMC Cancer, October 2022
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1 X user

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5 Mendeley
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Title
A predictive model based on site-specific risk factors of recurrence regions in endometrial cancer patients
Published in
BMC Cancer, October 2022
DOI 10.1186/s12885-022-10193-3
Pubmed ID
Authors

Wonkyo Shin, Seong J. Yang, Sang-Yoon Park, Sokbom Kang, Dong Ock Lee, Myong Cheol Lim, Sang-Soo Seo

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 20%
Student > Bachelor 1 20%
Unknown 3 60%
Readers by discipline Count As %
Medicine and Dentistry 2 40%
Agricultural and Biological Sciences 1 20%
Unknown 2 40%
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 02 November 2022.
All research outputs
#20,466,701
of 23,025,074 outputs
Outputs from BMC Cancer
#6,534
of 8,362 outputs
Outputs of similar age
#349,598
of 440,135 outputs
Outputs of similar age from BMC Cancer
#137
of 218 outputs
Altmetric has tracked 23,025,074 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 8,362 research outputs from this source. They receive a mean Attention Score of 4.3. 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 440,135 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 218 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.