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How Long Do We Live?

Overview of attention for book
Cover of 'How Long Do We Live?'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 How long do we live? Demographic models and reflections on tempo effects: An introduction
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    Chapter 2 Estimating mean lifetime
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    Chapter 3 The quantum and tempo of life-cycle events
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    Chapter 4 Demographic translation and tempo effects: An accelerated failure time perspective
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    Chapter 5 Lifesaving, lifetimes and lifetables
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    Chapter 6 Tempo and its tribulations
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    Chapter 7 Tempo effects in mortality: An appraisal
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    Chapter 8 Increments to life and mortality tempo
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    Chapter 9 Mortality tempo versus removal of causes of mortality: Opposite views leading to different estimations of life expectancy
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    Chapter 10 Tempo effect on age-specific death rates
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    Chapter 11 Mortality tempo-adjustment: Theoretical considerations and an empirical application
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    Chapter 12 Five period measures of longevity
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    Chapter 13 Found in translation? A cohort perspective on tempo-adjusted life expectancy
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    Chapter 14 Afterthoughts on the mortality tempo effect
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    Chapter 15 Turbulence in lifetables: Demonstration by four simple examples
Attention for Chapter 3: The quantum and tempo of life-cycle events
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Chapter title
The quantum and tempo of life-cycle events
Chapter number 3
Book title
How Long Do We Live?
Published by
Springer, Berlin, Heidelberg, January 2008
DOI 10.1007/978-3-540-78520-0_3
Book ISBNs
978-3-54-078519-4, 978-3-54-078520-0
Authors

John Bongaarts, Griffith Feeney, Bongaarts, John, Feeney, Griffith

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
United Kingdom 1 2%
United States 1 2%
Unknown 44 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Researcher 10 21%
Student > Doctoral Student 7 15%
Student > Master 5 11%
Student > Bachelor 2 4%
Other 5 11%
Unknown 5 11%
Readers by discipline Count As %
Social Sciences 18 38%
Economics, Econometrics and Finance 6 13%
Agricultural and Biological Sciences 5 11%
Business, Management and Accounting 2 4%
Mathematics 2 4%
Other 5 11%
Unknown 9 19%

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