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Classifying breast cancer using multi-view graph neural network based on multi-omics data

Overview of attention for article published in Frontiers in Genetics, February 2024
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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13 Mendeley
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Title
Classifying breast cancer using multi-view graph neural network based on multi-omics data
Published in
Frontiers in Genetics, February 2024
DOI 10.3389/fgene.2024.1363896
Pubmed ID
Authors

Yanjiao Ren, Yimeng Gao, Wei Du, Weibo Qiao, Wei Li, Qianqian Yang, Yanchun Liang, Gaoyang Li

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 23%
Lecturer 1 8%
Lecturer > Senior Lecturer 1 8%
Student > Master 1 8%
Unknown 7 54%
Readers by discipline Count As %
Unspecified 3 23%
Arts and Humanities 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Computer Science 1 8%
Unknown 7 54%
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 20 February 2024.
All research outputs
#21,583,364
of 26,493,631 outputs
Outputs from Frontiers in Genetics
#8,268
of 14,007 outputs
Outputs of similar age
#251,193
of 358,473 outputs
Outputs of similar age from Frontiers in Genetics
#125
of 263 outputs
Altmetric has tracked 26,493,631 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,007 research outputs from this source. They receive a mean Attention Score of 3.9. 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 358,473 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 263 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.