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On some mortality rate processes and mortality deceleration with age

Overview of attention for article published in Journal of Mathematical Biology, April 2015
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Title
On some mortality rate processes and mortality deceleration with age
Published in
Journal of Mathematical Biology, April 2015
DOI 10.1007/s00285-015-0885-0
Pubmed ID
Authors

Ji Hwan Cha, Maxim Finkelstein

Abstract

A specific mortality rate process governed by the non-homogeneous Poisson process of point events is considered and its properties are studied. This process can describe the damage accumulation in organisms experiencing external shocks and define its survival characteristics. It is shown that, although the sample paths of the unconditional mortality rate process are monotonically increasing, the population mortality rate can decrease with age and, under certain assumptions, even tend to zero. The corresponding analysis is the main objective of this paper and it is performed using the derived conditional distributions of relevant random parameters. Several meaningful examples are presented and discussed.

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Professor 2 29%
Lecturer 1 14%
Researcher 1 14%
Professor > Associate Professor 1 14%
Other 0 0%
Readers by discipline Count As %
Mathematics 5 71%
Business, Management and Accounting 1 14%
Computer Science 1 14%
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 30 April 2015.
All research outputs
#18,410,971
of 22,805,349 outputs
Outputs from Journal of Mathematical Biology
#445
of 655 outputs
Outputs of similar age
#192,658
of 264,537 outputs
Outputs of similar age from Journal of Mathematical Biology
#8
of 13 outputs
Altmetric has tracked 22,805,349 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 655 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 17th percentile – i.e., 17% 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 264,537 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 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.