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Statistical Modeling of MicroRNA Expression with Human Cancers

Overview of attention for article published in Journal of biometrics biostatistics, January 2015
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About this Attention Score

  • Among the highest-scoring outputs from this source (#29 of 143)
  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Readers on

mendeley
7 Mendeley
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Article details
Title
Statistical Modeling of MicroRNA Expression with Human Cancers
Published in
Journal of biometrics biostatistics, January 2015
DOI 10.4172/2155-6180.1000240
Authors

Ke Sheng Wang Yue Pan

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Timeline Attention over time Attention Score history
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Activity
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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.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 3 43%
Professor 1 14%
Student > Ph. D. Student 1 14%
Professor > Associate Professor 1 14%
Unknown 1 14%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Computer Science 2 29%
Agricultural and Biological Sciences 1 14%
Unknown 2 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 November 2015.
All research outputs
#24,089,907
of 34,362,729 outputs
Outputs from Journal of biometrics biostatistics
#29
of 143 outputs
Outputs of similar age
#273,980
of 409,695 outputs
Outputs of similar age from Journal of biometrics biostatistics
#10
of 55 outputs
Altmetric has tracked 34,362,729 research outputs across all sources so far. This one is in the 28th percentile – i.e., 28% of other outputs scored the same or lower than it.
So far Altmetric has tracked 143 research outputs from this source. They receive a mean Attention Score of 1.6. This one has gotten more attention than average, scoring higher than 56% of its peers.
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 409,695 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.