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A novel semi-supervised model for miRNA-disease association prediction based on ℓ1-norm graph

Overview of attention for article published in Journal of Translational Medicine, December 2018
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1 X user

Citations

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12 Dimensions

Readers on

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10 Mendeley
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Title
A novel semi-supervised model for miRNA-disease association prediction based on ℓ1-norm graph
Published in
Journal of Translational Medicine, December 2018
DOI 10.1186/s12967-018-1741-y
Pubmed ID
Authors

Cheng Liang, Shengpeng Yu, Ka-Chun Wong, Jiawei Luo

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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Student > Doctoral Student 2 20%
Other 1 10%
Student > Master 1 10%
Unknown 3 30%
Readers by discipline Count As %
Computer Science 3 30%
Biochemistry, Genetics and Molecular Biology 2 20%
Earth and Planetary Sciences 1 10%
Medicine and Dentistry 1 10%
Engineering 1 10%
Other 0 0%
Unknown 2 20%
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 15 December 2018.
All research outputs
#20,545,598
of 23,117,738 outputs
Outputs from Journal of Translational Medicine
#3,362
of 4,059 outputs
Outputs of similar age
#371,539
of 436,748 outputs
Outputs of similar age from Journal of Translational Medicine
#64
of 103 outputs
Altmetric has tracked 23,117,738 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 4,059 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 436,748 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 103 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.