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High expression of cuproptosis-related SLC31A1 gene in relation to unfavorable outcome and deregulated immune cell infiltration in breast cancer: an analysis based on public databases

Overview of attention for article published in BMC Bioinformatics, August 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Citations

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30 Dimensions

Readers on

mendeley
22 Mendeley
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Title
High expression of cuproptosis-related SLC31A1 gene in relation to unfavorable outcome and deregulated immune cell infiltration in breast cancer: an analysis based on public databases
Published in
BMC Bioinformatics, August 2022
DOI 10.1186/s12859-022-04894-6
Pubmed ID
Authors

Linrong Li, Lin Li, Qiang Sun

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 14%
Student > Bachelor 2 9%
Student > Ph. D. Student 2 9%
Professor 1 5%
Lecturer > Senior Lecturer 1 5%
Other 2 9%
Unknown 11 50%
Readers by discipline Count As %
Medicine and Dentistry 4 18%
Biochemistry, Genetics and Molecular Biology 2 9%
Agricultural and Biological Sciences 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 12 55%
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 23 August 2022.
All research outputs
#16,528,707
of 24,318,236 outputs
Outputs from BMC Bioinformatics
#5,524
of 7,513 outputs
Outputs of similar age
#242,113
of 419,373 outputs
Outputs of similar age from BMC Bioinformatics
#120
of 148 outputs
Altmetric has tracked 24,318,236 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,513 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 18th percentile – i.e., 18% 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 419,373 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.