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TLSEA: a tool for lncRNA set enrichment analysis based on multi-source heterogeneous information fusion

Overview of attention for article published in Frontiers in Genetics, May 2023
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Title
TLSEA: a tool for lncRNA set enrichment analysis based on multi-source heterogeneous information fusion
Published in
Frontiers in Genetics, May 2023
DOI 10.3389/fgene.2023.1181391
Pubmed ID
Authors

Jianwei Li, Zhiguang Li, Yinfei Wang, Hongxin Lin, Baoqin Wu

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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 02 May 2023.
All research outputs
#21,028,638
of 23,666,309 outputs
Outputs from Frontiers in Genetics
#9,041
of 12,622 outputs
Outputs of similar age
#156,965
of 199,608 outputs
Outputs of similar age from Frontiers in Genetics
#115
of 242 outputs
Altmetric has tracked 23,666,309 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 12,622 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 199,608 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 242 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.