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Longevity and concentration in survival times: the log-scale-location family of failure time models

Overview of attention for article published in Lifetime Data Analysis, February 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 161)
  • High Attention Score compared to outputs of the same age (82nd percentile)

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11 X users

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11 Mendeley
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Article details
Title
Longevity and concentration in survival times: the log-scale-location family of failure time models
Published in
Lifetime Data Analysis, February 2016
DOI 10.1007/s10985-016-9356-1
Pubmed ID
Authors
Abstract

Evidence suggests that the increasing life expectancy levels at birth witnessed over the past centuries are associated with a decreasing concentration of the survival times. The purpose of this work is to study the relationships that exist between longevity and concentration measures for some regression models for the evolution of survival. In particular, we study a family of survival models that can be used to capture the observed trends in longevity and concentration over time. The parametric family of log-scale-location models is shown to allow for modeling different trends of expected value and concentration of survival times. An extension towards mixture models is also described in order to take into account scenarios where a fraction of the population experiences short term survival. Some results are also presented for such framework. The use of both the log-scale-location family and the mixture model is illustrated through an application to period life tables from the Human Mortality Database.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users 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 11 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 11 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Student > Master 2 18%
Student > Doctoral Student 1 9%
Student > Bachelor 1 9%
Professor 1 9%
Other 1 9%
Unknown 3 27%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 9%
Mathematics 1 9%
Business, Management and Accounting 1 9%
Agricultural and Biological Sciences 1 9%
Economics, Econometrics and Finance 1 9%
Other 2 18%
Unknown 4 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 26 February 2020.
All research outputs
#4,844,657
of 27,651,521 outputs
Outputs from Lifetime Data Analysis
#9
of 161 outputs
Outputs of similar age
#73,254
of 413,904 outputs
Outputs of similar age from Lifetime Data Analysis
#1
of 1 outputs
Altmetric has tracked 27,651,521 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 161 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done particularly well, scoring higher than 94% 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 413,904 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 1 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