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Molecular Subtyping of Cancer Based on Robust Graph Neural Network and Multi-Omics Data Integration

Overview of attention for article published in Frontiers in Genetics, May 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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16 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Molecular Subtyping of Cancer Based on Robust Graph Neural Network and Multi-Omics Data Integration
Published in
Frontiers in Genetics, May 2022
DOI 10.3389/fgene.2022.884028
Pubmed ID
Authors

Chaoyi Yin, Yangkun Cao, Peishuo Sun, Hengyuan Zhang, Zhi Li, Ying Xu, Huiyan Sun

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 18%
Lecturer 2 9%
Student > Bachelor 1 5%
Student > Doctoral Student 1 5%
Professor 1 5%
Other 1 5%
Unknown 12 55%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 9%
Engineering 2 9%
Medicine and Dentistry 2 9%
Agricultural and Biological Sciences 1 5%
Mathematics 1 5%
Other 1 5%
Unknown 13 59%
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 01 June 2022.
All research outputs
#18,810,584
of 23,312,088 outputs
Outputs from Frontiers in Genetics
#7,286
of 12,331 outputs
Outputs of similar age
#315,826
of 442,259 outputs
Outputs of similar age from Frontiers in Genetics
#435
of 901 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,331 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 27th percentile – i.e., 27% 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 442,259 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 901 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.