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GBDTL2E: Predicting lncRNA-EF Associations Using Diffusion and HeteSim Features Based on a Heterogeneous Network

Overview of attention for article published in Frontiers in Genetics, April 2020
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Title
GBDTL2E: Predicting lncRNA-EF Associations Using Diffusion and HeteSim Features Based on a Heterogeneous Network
Published in
Frontiers in Genetics, April 2020
DOI 10.3389/fgene.2020.00272
Pubmed ID
Authors

Jiaqi Wang, Zhufang Kuang, Zhihao Ma, Genwei Han

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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 25 April 2020.
All research outputs
#20,613,796
of 23,203,401 outputs
Outputs from Frontiers in Genetics
#8,829
of 12,236 outputs
Outputs of similar age
#320,495
of 375,270 outputs
Outputs of similar age from Frontiers in Genetics
#288
of 370 outputs
Altmetric has tracked 23,203,401 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 12,236 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 375,270 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 370 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.