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Molecular Subtyping of Cancer Based on Distinguishing Co-Expression Modules and Machine Learning

Overview of attention for article published in Frontiers in Genetics, May 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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5 X users

Readers on

mendeley
13 Mendeley
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Title
Molecular Subtyping of Cancer Based on Distinguishing Co-Expression Modules and Machine Learning
Published in
Frontiers in Genetics, May 2022
DOI 10.3389/fgene.2022.866005
Pubmed ID
Authors

Peishuo Sun, Ying Wu, Chaoyi Yin, Hongyang Jiang, Ying Xu, Huiyan Sun

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 > Master 2 15%
Researcher 2 15%
Student > Bachelor 1 8%
Unspecified 1 8%
Student > Postgraduate 1 8%
Other 1 8%
Unknown 5 38%
Readers by discipline Count As %
Medicine and Dentistry 3 23%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Unspecified 1 8%
Computer Science 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Other 0 0%
Unknown 6 46%
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 19 May 2022.
All research outputs
#15,496,278
of 23,800,390 outputs
Outputs from Frontiers in Genetics
#4,715
of 12,703 outputs
Outputs of similar age
#235,592
of 445,061 outputs
Outputs of similar age from Frontiers in Genetics
#253
of 922 outputs
Altmetric has tracked 23,800,390 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 12,703 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 445,061 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 922 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.