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Integrated bioinformatics and machine-learning screening for immune-related genes in diagnosing non-alcoholic fatty liver disease with ischemic stroke and RRS1 pan-cancer analysis

Overview of attention for article published in Frontiers in immunology, April 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Integrated bioinformatics and machine-learning screening for immune-related genes in diagnosing non-alcoholic fatty liver disease with ischemic stroke and RRS1 pan-cancer analysis
Published in
Frontiers in immunology, April 2023
DOI 10.3389/fimmu.2023.1113634
Pubmed ID
Authors

Huayan Bao, Jianwen Li, Boyang Zhang, Ju Huang, Danke Su, Lidong Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 17%
Unspecified 1 8%
Student > Doctoral Student 1 8%
Other 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 5 42%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 17%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Unspecified 1 8%
Nursing and Health Professions 1 8%
Engineering 1 8%
Other 0 0%
Unknown 6 50%
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 05 April 2023.
All research outputs
#15,527,651
of 25,394,764 outputs
Outputs from Frontiers in immunology
#15,112
of 31,549 outputs
Outputs of similar age
#199,260
of 420,739 outputs
Outputs of similar age from Frontiers in immunology
#542
of 1,424 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,549 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 52% 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 420,739 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 1,424 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 61% of its contemporaries.