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Identification of Hub Genes Associated With Hepatocellular Carcinoma Using Robust Rank Aggregation Combined With Weighted Gene Co-expression Network Analysis

Overview of attention for article published in Frontiers in Genetics, September 2020
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1 X user

Citations

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15 Mendeley
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Title
Identification of Hub Genes Associated With Hepatocellular Carcinoma Using Robust Rank Aggregation Combined With Weighted Gene Co-expression Network Analysis
Published in
Frontiers in Genetics, September 2020
DOI 10.3389/fgene.2020.00895
Pubmed ID
Authors

Hao Song, Na Ding, Shang Li, Jianlong Liao, Aimin Xie, Youtao Yu, Chunlong Zhang, Caifang Ni

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 13%
Student > Bachelor 1 7%
Other 1 7%
Student > Master 1 7%
Unknown 10 67%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 7%
Agricultural and Biological Sciences 1 7%
Computer Science 1 7%
Social Sciences 1 7%
Chemistry 1 7%
Other 0 0%
Unknown 10 67%
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 November 2020.
All research outputs
#20,662,373
of 23,257,423 outputs
Outputs from Frontiers in Genetics
#8,879
of 12,290 outputs
Outputs of similar age
#352,335
of 411,591 outputs
Outputs of similar age from Frontiers in Genetics
#351
of 462 outputs
Altmetric has tracked 23,257,423 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 12,290 research outputs from this source. They receive a mean Attention Score of 3.7. 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 411,591 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 462 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.