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MRI-based random survival Forest model improves prediction of progression-free survival to induction chemotherapy plus concurrent Chemoradiotherapy in Locoregionally Advanced nasopharyngeal carcinoma

Overview of attention for article published in BMC Cancer, July 2022
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

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8 Mendeley
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Title
MRI-based random survival Forest model improves prediction of progression-free survival to induction chemotherapy plus concurrent Chemoradiotherapy in Locoregionally Advanced nasopharyngeal carcinoma
Published in
BMC Cancer, July 2022
DOI 10.1186/s12885-022-09832-6
Pubmed ID
Authors

Wei Pei, Chen Wang, Hai Liao, Xiaobo Chen, Yunyun Wei, Xia Huang, Xueli Liang, Huayan Bao, Danke Su, Guanqiao Jin

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

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 13%
Student > Ph. D. Student 1 13%
Other 1 13%
Unknown 5 63%
Readers by discipline Count As %
Mathematics 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Immunology and Microbiology 1 13%
Unknown 5 63%
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 07 July 2022.
All research outputs
#21,532,890
of 24,037,100 outputs
Outputs from BMC Cancer
#6,731
of 8,534 outputs
Outputs of similar age
#355,616
of 423,518 outputs
Outputs of similar age from BMC Cancer
#156
of 264 outputs
Altmetric has tracked 24,037,100 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 8,534 research outputs from this source. They receive a mean Attention Score of 4.5. 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 423,518 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 264 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.