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Editorial: Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine

Overview of attention for article published in Frontiers in Genetics, February 2020
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1 X user

Readers on

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33 Mendeley
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Title
Editorial: Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine
Published in
Frontiers in Genetics, February 2020
DOI 10.3389/fgene.2019.01343
Pubmed ID
Authors

Tao Zeng, Tao Huang, Chuan Lu

Timeline

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 12%
Other 3 9%
Student > Ph. D. Student 3 9%
Lecturer 3 9%
Student > Bachelor 3 9%
Other 8 24%
Unknown 9 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 18%
Medicine and Dentistry 4 12%
Computer Science 4 12%
Immunology and Microbiology 2 6%
Agricultural and Biological Sciences 1 3%
Other 6 18%
Unknown 10 30%
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 06 February 2020.
All research outputs
#20,603,098
of 23,191,112 outputs
Outputs from Frontiers in Genetics
#8,818
of 12,228 outputs
Outputs of similar age
#375,758
of 449,639 outputs
Outputs of similar age from Frontiers in Genetics
#267
of 360 outputs
Altmetric has tracked 23,191,112 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 12,228 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 449,639 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 360 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.