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Radiomics Model Based on MR Images to Discriminate Pancreatic Ductal Adenocarcinoma and Mass-Forming Chronic Pancreatitis Lesions

Overview of attention for article published in Frontiers in oncology, March 2021
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2 X users

Citations

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Title
Radiomics Model Based on MR Images to Discriminate Pancreatic Ductal Adenocarcinoma and Mass-Forming Chronic Pancreatitis Lesions
Published in
Frontiers in oncology, March 2021
DOI 10.3389/fonc.2021.620981
Pubmed ID
Authors

Yan Deng, Bing Ming, Ting Zhou, Jia-long Wu, Yong Chen, Pei Liu, Ju Zhang, Shi-yong Zhang, Tian-wu Chen, Xiao-Ming Zhang

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

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 17%
Student > Postgraduate 2 11%
Other 1 6%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Other 3 17%
Unknown 7 39%
Readers by discipline Count As %
Medicine and Dentistry 5 28%
Engineering 3 17%
Materials Science 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Unknown 8 44%
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 29 April 2021.
All research outputs
#20,669,432
of 25,387,668 outputs
Outputs from Frontiers in oncology
#11,322
of 22,433 outputs
Outputs of similar age
#346,733
of 453,503 outputs
Outputs of similar age from Frontiers in oncology
#632
of 1,073 outputs
Altmetric has tracked 25,387,668 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 22,433 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 29th percentile – i.e., 29% 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 453,503 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 1,073 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.