↓ Skip to main content

Machine Learning-Based Radiomics Nomogram for Detecting Extramural Venous Invasion in Rectal Cancer

Overview of attention for article published in Frontiers in oncology, March 2021
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
16 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Machine Learning-Based Radiomics Nomogram for Detecting Extramural Venous Invasion in Rectal Cancer
Published in
Frontiers in oncology, March 2021
DOI 10.3389/fonc.2021.610338
Pubmed ID
Authors

Siye Liu, Xiaoping Yu, Songhua Yang, Pingsheng Hu, Yingbin Hu, Xiaoyan Chen, Yilin Li, Zhe Zhang, Cheng Li, Qiang Lu

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 %
Unspecified 2 13%
Student > Ph. D. Student 2 13%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Student > Master 1 6%
Other 3 19%
Unknown 6 38%
Readers by discipline Count As %
Medicine and Dentistry 5 31%
Unspecified 2 13%
Environmental Science 1 6%
Social Sciences 1 6%
Mathematics 1 6%
Other 0 0%
Unknown 6 38%
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 12 April 2021.
All research outputs
#21,307,042
of 26,163,973 outputs
Outputs from Frontiers in oncology
#11,634
of 22,913 outputs
Outputs of similar age
#351,845
of 459,067 outputs
Outputs of similar age from Frontiers in oncology
#641
of 1,085 outputs
Altmetric has tracked 26,163,973 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 22,913 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 459,067 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,085 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.