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A self-training subspace clustering algorithm based on adaptive confidence for gene expression data

Overview of attention for article published in Frontiers in Genetics, March 2023
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Title
A self-training subspace clustering algorithm based on adaptive confidence for gene expression data
Published in
Frontiers in Genetics, March 2023
DOI 10.3389/fgene.2023.1132370
Pubmed ID
Authors

Dan Li, Hongnan Liang, Pan Qin, Jia Wang

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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 21 March 2023.
All research outputs
#20,941,392
of 23,567,572 outputs
Outputs from Frontiers in Genetics
#9,024
of 12,604 outputs
Outputs of similar age
#256,417
of 326,956 outputs
Outputs of similar age from Frontiers in Genetics
#255
of 498 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,604 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% 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 326,956 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 498 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.