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Identifying Critical State of Complex Diseases by Single-Sample-Based Hidden Markov Model

Overview of attention for article published in Frontiers in Genetics, April 2019
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1 X user

Readers on

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16 Mendeley
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Title
Identifying Critical State of Complex Diseases by Single-Sample-Based Hidden Markov Model
Published in
Frontiers in Genetics, April 2019
DOI 10.3389/fgene.2019.00285
Pubmed ID
Authors

Rui Liu, Jiayuan Zhong, Xiangtian Yu, Yongjun Li, Pei Chen

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

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Student > Bachelor 3 19%
Researcher 3 19%
Student > Master 3 19%
Unknown 4 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 19%
Biochemistry, Genetics and Molecular Biology 2 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Psychology 1 6%
Physics and Astronomy 1 6%
Other 3 19%
Unknown 5 31%
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 11 April 2019.
All research outputs
#20,564,621
of 23,140,503 outputs
Outputs from Frontiers in Genetics
#8,797
of 12,181 outputs
Outputs of similar age
#301,879
of 351,532 outputs
Outputs of similar age from Frontiers in Genetics
#296
of 350 outputs
Altmetric has tracked 23,140,503 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 12,181 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 351,532 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 350 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.