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Applying negative sample denoising and multi-view feature for lncRNA-disease association prediction

Overview of attention for article published in Frontiers in Genetics, January 2024
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1 X user

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3 Mendeley
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Title
Applying negative sample denoising and multi-view feature for lncRNA-disease association prediction
Published in
Frontiers in Genetics, January 2024
DOI 10.3389/fgene.2023.1332273
Pubmed ID
Authors

Dengju Yao, Bo Zhang, Xiangkui Li, Xiaojuan Zhan, Xiaorong Zhan, Binbin Zhang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 33%
Unknown 2 67%
Readers by discipline Count As %
Computer Science 1 33%
Unknown 2 67%
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 10 January 2024.
All research outputs
#22,538,472
of 25,142,442 outputs
Outputs from Frontiers in Genetics
#9,523
of 13,524 outputs
Outputs of similar age
#134,487
of 167,814 outputs
Outputs of similar age from Frontiers in Genetics
#60
of 124 outputs
Altmetric has tracked 25,142,442 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 13,524 research outputs from this source. They receive a mean Attention Score of 3.8. 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 167,814 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 124 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.