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Dynamic behaviors of Lotka–Volterra predator–prey model incorporating predator cannibalism

Overview of attention for article published in Advances in Continuous and Discrete Models, August 2019
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About this Attention Score

  • Among the highest-scoring outputs from this source (#46 of 189)

Mentioned by

twitter
1 X user

Citations

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35 Dimensions

Readers on

mendeley
26 Mendeley
Title
Dynamic behaviors of Lotka–Volterra predator–prey model incorporating predator cannibalism
Published in
Advances in Continuous and Discrete Models, August 2019
DOI 10.1186/s13662-019-2289-8
Authors

Hang Deng, Fengde Chen, Zhenliang Zhu, Zhong Li

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

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 15%
Lecturer 3 12%
Student > Doctoral Student 1 4%
Student > Ph. D. Student 1 4%
Student > Master 1 4%
Other 1 4%
Unknown 15 58%
Readers by discipline Count As %
Mathematics 5 19%
Arts and Humanities 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Agricultural and Biological Sciences 1 4%
Unknown 18 69%
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 29 January 2021.
All research outputs
#17,295,853
of 25,385,509 outputs
Outputs from Advances in Continuous and Discrete Models
#46
of 189 outputs
Outputs of similar age
#221,922
of 349,735 outputs
Outputs of similar age from Advances in Continuous and Discrete Models
#1
of 4 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 189 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 51% 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 349,735 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them