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X Demographics
Mendeley readers
Attention Score in Context
Title |
MoGCN: A Multi-Omics Integration Method Based on Graph Convolutional Network for Cancer Subtype Analysis
|
---|---|
Published in |
Frontiers in Genetics, February 2022
|
DOI | 10.3389/fgene.2022.806842 |
Pubmed ID | |
Authors |
Xiao Li, Jie Ma, Ling Leng, Mingfei Han, Mansheng Li, Fuchu He, Yunping Zhu |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 69 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 13% |
Researcher | 6 | 9% |
Student > Ph. D. Student | 6 | 9% |
Student > Bachelor | 5 | 7% |
Other | 4 | 6% |
Other | 11 | 16% |
Unknown | 28 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 16% |
Biochemistry, Genetics and Molecular Biology | 9 | 13% |
Agricultural and Biological Sciences | 7 | 10% |
Unspecified | 4 | 6% |
Immunology and Microbiology | 2 | 3% |
Other | 5 | 7% |
Unknown | 31 | 45% |
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 21 February 2022.
All research outputs
#18,345,702
of 23,577,761 outputs
Outputs from Frontiers in Genetics
#6,355
of 12,603 outputs
Outputs of similar age
#349,375
of 514,395 outputs
Outputs of similar age from Frontiers in Genetics
#343
of 819 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,603 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 41st percentile – i.e., 41% 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 514,395 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 819 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.