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Using Graph Attention Network and Graph Convolutional Network to Explore Human CircRNA–Disease Associations Based on Multi-Source Data

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

Mentioned by

twitter
2 X users

Readers on

mendeley
14 Mendeley
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Title
Using Graph Attention Network and Graph Convolutional Network to Explore Human CircRNA–Disease Associations Based on Multi-Source Data
Published in
Frontiers in Genetics, February 2022
DOI 10.3389/fgene.2022.829937
Pubmed ID
Authors

Guanghui Li, Diancheng Wang, Yuejin Zhang, Cheng Liang, Qiu Xiao, Jiawei Luo

Timeline

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 14%
Lecturer 2 14%
Researcher 1 7%
Student > Ph. D. Student 1 7%
Unknown 8 57%
Readers by discipline Count As %
Computer Science 3 21%
Unspecified 2 14%
Engineering 1 7%
Unknown 8 57%
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 24 February 2022.
All research outputs
#18,716,137
of 23,197,711 outputs
Outputs from Frontiers in Genetics
#7,214
of 12,236 outputs
Outputs of similar age
#366,495
of 509,130 outputs
Outputs of similar age from Frontiers in Genetics
#426
of 835 outputs
Altmetric has tracked 23,197,711 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 12,236 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 509,130 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 835 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.