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Prediction of Gene Expression Patterns With Generalized Linear Regression Model

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

Citations

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146 Dimensions

Readers on

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72 Mendeley
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Title
Prediction of Gene Expression Patterns With Generalized Linear Regression Model
Published in
Frontiers in Genetics, March 2019
DOI 10.3389/fgene.2019.00120
Pubmed ID
Authors

Shuai Liu, Mengye Lu, Hanshuang Li, Yongchun Zuo

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

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 13%
Student > Bachelor 7 10%
Student > Master 6 8%
Researcher 5 7%
Student > Postgraduate 5 7%
Other 11 15%
Unknown 29 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 18%
Computer Science 10 14%
Agricultural and Biological Sciences 5 7%
Immunology and Microbiology 4 6%
Engineering 3 4%
Other 7 10%
Unknown 30 42%
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 07 March 2019.
All research outputs
#20,557,521
of 23,132,033 outputs
Outputs from Frontiers in Genetics
#8,792
of 12,171 outputs
Outputs of similar age
#304,376
of 353,450 outputs
Outputs of similar age from Frontiers in Genetics
#320
of 365 outputs
Altmetric has tracked 23,132,033 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 12,171 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 353,450 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 365 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.