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Non-Negative Symmetric Low-Rank Representation Graph Regularized Method for Cancer Clustering Based on Score Function

Overview of attention for article published in Frontiers in Genetics, January 2020
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Title
Non-Negative Symmetric Low-Rank Representation Graph Regularized Method for Cancer Clustering Based on Score Function
Published in
Frontiers in Genetics, January 2020
DOI 10.3389/fgene.2019.01353
Pubmed ID
Authors

Conghai Lu, Juan Wang, Jinxing Liu, Chunhou Zheng, Xiangzhen Kong, Xiaofeng Zhang

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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 24 January 2020.
All research outputs
#20,601,627
of 23,189,371 outputs
Outputs from Frontiers in Genetics
#8,816
of 12,221 outputs
Outputs of similar age
#379,094
of 453,657 outputs
Outputs of similar age from Frontiers in Genetics
#268
of 351 outputs
Altmetric has tracked 23,189,371 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 12,221 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 453,657 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 351 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.