↓ Skip to main content

Development and Validation of a Novel DNA Methylation-Driven Gene Based Molecular Classification and Predictive Model for Overall Survival and Immunotherapy Response in Patients With Glioblastoma: A…

Overview of attention for article published in Frontiers in Cell and Developmental Biology, September 2020
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
20 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
Development and Validation of a Novel DNA Methylation-Driven Gene Based Molecular Classification and Predictive Model for Overall Survival and Immunotherapy Response in Patients With Glioblastoma: A Multiomic Analysis
Published in
Frontiers in Cell and Developmental Biology, September 2020
DOI 10.3389/fcell.2020.576996
Pubmed ID
Authors

Zihao Wang, Lu Gao, Xiaopeng Guo, Wei Lian, Kan Deng, Bing Xing

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

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 15%
Researcher 2 10%
Student > Bachelor 2 10%
Unspecified 1 5%
Student > Doctoral Student 1 5%
Other 2 10%
Unknown 9 45%
Readers by discipline Count As %
Medicine and Dentistry 3 15%
Biochemistry, Genetics and Molecular Biology 3 15%
Unspecified 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Neuroscience 1 5%
Other 1 5%
Unknown 10 50%
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 03 September 2020.
All research outputs
#20,639,968
of 23,234,261 outputs
Outputs from Frontiers in Cell and Developmental Biology
#6,211
of 9,265 outputs
Outputs of similar age
#341,835
of 399,642 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#295
of 457 outputs
Altmetric has tracked 23,234,261 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 9,265 research outputs from this source. They receive a mean Attention Score of 3.4. 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 399,642 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 457 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.