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WGCNA, LASSO and SVM Algorithm Revealed RAC1 Correlated M0 Macrophage and the Risk Score to Predict the Survival of Hepatocellular Carcinoma Patients

Overview of attention for article published in Frontiers in Genetics, March 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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2 X users

Citations

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8 Dimensions

Readers on

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13 Mendeley
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Title
WGCNA, LASSO and SVM Algorithm Revealed RAC1 Correlated M0 Macrophage and the Risk Score to Predict the Survival of Hepatocellular Carcinoma Patients
Published in
Frontiers in Genetics, March 2022
DOI 10.3389/fgene.2021.730920
Pubmed ID
Authors

Ji-An You, Yuhan Gong, Yongzhe Wu, Libo Jin, Qingjia Chi, Da 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 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 %
Student > Ph. D. Student 1 8%
Student > Bachelor 1 8%
Researcher 1 8%
Unknown 10 77%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 23%
Unknown 10 77%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 May 2022.
All research outputs
#15,155,790
of 23,310,485 outputs
Outputs from Frontiers in Genetics
#4,616
of 12,331 outputs
Outputs of similar age
#250,004
of 468,558 outputs
Outputs of similar age from Frontiers in Genetics
#244
of 895 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% 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 has gotten more attention than average, scoring higher than 55% of its peers.
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 468,558 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 895 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.