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Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma

Overview of attention for article published in BMC Cancer, June 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
41 Mendeley
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Title
Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma
Published in
BMC Cancer, June 2020
DOI 10.1186/s12885-020-06957-4
Pubmed ID
Authors

Bin Zhang, Zhouyang Lian, Liming Zhong, Xiao Zhang, Yuhao Dong, Qiuying Chen, Lu Zhang, Xiaokai Mo, Wenhui Huang, Wei Yang, Shuixing Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 10%
Other 3 7%
Student > Postgraduate 3 7%
Researcher 3 7%
Student > Bachelor 2 5%
Other 4 10%
Unknown 22 54%
Readers by discipline Count As %
Medicine and Dentistry 11 27%
Environmental Science 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Unspecified 1 2%
Agricultural and Biological Sciences 1 2%
Other 3 7%
Unknown 23 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 25 January 2022.
All research outputs
#4,216,139
of 22,986,950 outputs
Outputs from BMC Cancer
#1,017
of 8,353 outputs
Outputs of similar age
#104,556
of 396,817 outputs
Outputs of similar age from BMC Cancer
#30
of 176 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,353 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 86% 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 396,817 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.