↓ Skip to main content

Radiomic Features From Multi-Parameter MRI Combined With Clinical Parameters Predict Molecular Subgroups in Patients With Medulloblastoma

Overview of attention for article published in Frontiers in oncology, October 2020
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
1 X user

Readers on

mendeley
26 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Radiomic Features From Multi-Parameter MRI Combined With Clinical Parameters Predict Molecular Subgroups in Patients With Medulloblastoma
Published in
Frontiers in oncology, October 2020
DOI 10.3389/fonc.2020.558162
Pubmed ID
Authors

Jing Yan, Lei Liu, Weiwei Wang, Yuanshen Zhao, Kay Ka-Wai Li, Ke Li, Li Wang, Binke Yuan, Haiyang Geng, Shenghai Zhang, Zhen Liu, Wenchao Duan, Yunbo Zhan, Dongling Pei, Haibiao Zhao, Tao Sun, Chen Sun, Wenqing Wang, Xuanke Hong, Xiangxiang Wang, Yu Guo, Wencai Li, Jingliang Cheng, Xianzhi Liu, Ho-Keung Ng, Zhicheng Li, Zhenyu Zhang

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

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

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 5 19%
Student > Master 3 12%
Researcher 2 8%
Student > Bachelor 1 4%
Professor 1 4%
Other 4 15%
Unknown 10 38%
Readers by discipline Count As %
Medicine and Dentistry 7 27%
Computer Science 2 8%
Nursing and Health Professions 2 8%
Environmental Science 1 4%
Business, Management and Accounting 1 4%
Other 1 4%
Unknown 12 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 25 June 2022.
All research outputs
#18,034,657
of 26,391,552 outputs
Outputs from Frontiers in oncology
#8,382
of 23,083 outputs
Outputs of similar age
#280,408
of 438,112 outputs
Outputs of similar age from Frontiers in oncology
#243
of 687 outputs
Altmetric has tracked 26,391,552 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,083 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 57% 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 438,112 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 687 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 57% of its contemporaries.