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Spectral Functional-Digraph Theory, Stability, and Entropy for Gene Regulatory Networks

Overview of attention for article published in Frontiers in Applied Mathematics and Statistics, July 2018
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1 X user

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6 Mendeley
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Title
Spectral Functional-Digraph Theory, Stability, and Entropy for Gene Regulatory Networks
Published in
Frontiers in Applied Mathematics and Statistics, July 2018
DOI 10.3389/fams.2018.00028
Authors

Devin Akman, Füsun Akman

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 17%
Student > Doctoral Student 1 17%
Student > Master 1 17%
Researcher 1 17%
Professor > Associate Professor 1 17%
Other 0 0%
Unknown 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 17%
Computer Science 1 17%
Medicine and Dentistry 1 17%
Unknown 3 50%
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 13 July 2018.
All research outputs
#18,643,992
of 23,096,849 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#207
of 343 outputs
Outputs of similar age
#252,403
of 327,048 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#13
of 20 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 343 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 22nd percentile – i.e., 22% 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 327,048 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 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.