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The Role of Preoperative Computed Tomography Radiomics in Distinguishing Benign and Malignant Tumors of the Parotid Gland

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

Citations

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20 Dimensions

Readers on

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18 Mendeley
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Title
The Role of Preoperative Computed Tomography Radiomics in Distinguishing Benign and Malignant Tumors of the Parotid Gland
Published in
Frontiers in oncology, March 2021
DOI 10.3389/fonc.2021.634452
Pubmed ID
Authors

Yuyun Xu, Zhenyu Shu, Ge Song, Yijun Liu, Peipei Pang, Xuehua Wen, Xiangyang Gong

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 > Master 3 17%
Student > Bachelor 1 6%
Other 1 6%
Researcher 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 11 61%
Readers by discipline Count As %
Medicine and Dentistry 3 17%
Biochemistry, Genetics and Molecular Biology 1 6%
Arts and Humanities 1 6%
Psychology 1 6%
Engineering 1 6%
Other 0 0%
Unknown 11 61%
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 March 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
#345,577
of 452,055 outputs
Outputs of similar age from Frontiers in oncology
#582
of 998 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 452,055 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 998 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.