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Radiomics Models for the Preoperative Prediction of Pelvic and Sacral Tumor Types: A Single-Center Retrospective Study of 795 Cases

Overview of attention for article published in Frontiers in oncology, September 2021
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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3 X users

Citations

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13 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Radiomics Models for the Preoperative Prediction of Pelvic and Sacral Tumor Types: A Single-Center Retrospective Study of 795 Cases
Published in
Frontiers in oncology, September 2021
DOI 10.3389/fonc.2021.709659
Pubmed ID
Authors

Ping Yin, Xin Zhi, Chao Sun, Sicong Wang, Xia Liu, Lei Chen, Nan Hong

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 18%
Student > Master 2 12%
Lecturer > Senior Lecturer 1 6%
Student > Bachelor 1 6%
Unspecified 1 6%
Other 3 18%
Unknown 6 35%
Readers by discipline Count As %
Medicine and Dentistry 5 29%
Unspecified 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Computer Science 1 6%
Nursing and Health Professions 1 6%
Other 2 12%
Unknown 6 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 September 2021.
All research outputs
#16,588,485
of 26,163,973 outputs
Outputs from Frontiers in oncology
#5,841
of 22,913 outputs
Outputs of similar age
#234,302
of 438,341 outputs
Outputs of similar age from Frontiers in oncology
#295
of 1,403 outputs
Altmetric has tracked 26,163,973 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% 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 has gotten more attention than average, scoring higher than 70% of its peers.
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 438,341 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,403 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.