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Identification of Energy Metabolism Genes for the Prediction of Survival in Hepatocellular Carcinoma

Overview of attention for article published in Frontiers in oncology, August 2020
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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 (62nd percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Identification of Energy Metabolism Genes for the Prediction of Survival in Hepatocellular Carcinoma
Published in
Frontiers in oncology, August 2020
DOI 10.3389/fonc.2020.01210
Pubmed ID
Authors

Qinjunjie Chen, Fengwei Li, Yuzhen Gao, Gaoran Xu, Leilei Liang, Jingchao Xu

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

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 13%
Other 2 8%
Student > Postgraduate 2 8%
Student > Doctoral Student 1 4%
Student > Master 1 4%
Other 1 4%
Unknown 14 58%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 13%
Medicine and Dentistry 2 8%
Engineering 2 8%
Neuroscience 1 4%
Business, Management and Accounting 1 4%
Other 0 0%
Unknown 15 63%
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 27 October 2020.
All research outputs
#17,077,334
of 25,870,940 outputs
Outputs from Frontiers in oncology
#6,778
of 22,820 outputs
Outputs of similar age
#261,535
of 427,484 outputs
Outputs of similar age from Frontiers in oncology
#194
of 578 outputs
Altmetric has tracked 25,870,940 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,820 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 64% 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 427,484 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 578 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 62% of its contemporaries.