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Better efficacy in differentiating WHO grade II from III oligodendrogliomas with machine-learning than radiologist’s reading from conventional T1 contrast-enhanced and fluid attenuated inversion…

Overview of attention for article published in BMC Neurology, February 2020
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1 X user

Citations

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37 Mendeley
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Title
Better efficacy in differentiating WHO grade II from III oligodendrogliomas with machine-learning than radiologist’s reading from conventional T1 contrast-enhanced and fluid attenuated inversion recovery images
Published in
BMC Neurology, February 2020
DOI 10.1186/s12883-020-1613-y
Pubmed ID
Authors

Sha-Sha Zhao, Xiu-Long Feng, Yu-Chuan Hu, Yu Han, Qiang Tian, Ying-Zhi Sun, Jie Zhang, Xiang-Wei Ge, Si-Chao Cheng, Xiu-Li Li, Li Mao, Shu-Ning Shen, Lin-Feng Yan, Guang-Bin Cui, Wen Wang

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

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Ph. D. Student 5 14%
Other 3 8%
Student > Bachelor 3 8%
Librarian 1 3%
Other 3 8%
Unknown 14 38%
Readers by discipline Count As %
Medicine and Dentistry 8 22%
Chemistry 3 8%
Nursing and Health Professions 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Business, Management and Accounting 1 3%
Other 4 11%
Unknown 17 46%
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 09 February 2020.
All research outputs
#20,604,769
of 23,192,960 outputs
Outputs from BMC Neurology
#2,178
of 2,481 outputs
Outputs of similar age
#376,150
of 449,953 outputs
Outputs of similar age from BMC Neurology
#50
of 59 outputs
Altmetric has tracked 23,192,960 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 2,481 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. 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 449,953 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 59 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.