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Introduction to the Special Collection “Human Mortality over Age, Time, Sex, and Place

The 1st HMD Symposium

Bibliographic Data

ID7743823
AuthorsVladimir Shkolnikov, Vladimir M Shkolnikov (0000-0003-2259-5423, Max Planck Institute for Demographic Research), John R Wilmoth (United Nations Population Fund), Dana A Glei (0000-0002-2865-9355, University of California, Berkeley), Dana Glei
Year2005
Volume13
Pages223-230
Publication date2005-11-17
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueDemographic Research (JOURNAL)
Journal identifiersISSN: 1435-9871 • E-ISSN: 2363-7064
PublisherMax Planck Institute for Demographic Research (PUBLISHER • DE)
DOI10.4054/demres.2005.13.10
OpenAlexW2152324819
LanguageEN
Citations received1
References cited4

This introduction to the special collection â Human Mortality over Age, Time, Sex, and Place: The 1st HMD Symposiumâ describes the Human Mortality Database project and briefly summarizes the Special Collection articles

Data collection · Social science · Sociology · Demography · Global Health Care Issues · Health disparities and outcomes · Insurance, Mortality, Demography, Risk Management · Medicine · Gerontology

  • The Segmented Trend Line of Highest Life Expectancies

    Open Access•Jacques Vallin, France Meslé•Population and Development Review•2009

  • New African American Life Tables from 1935-1940 to 1985-1990

    Open Access•I T Elo•Demography•2001

  • The cross-sectional average length of life (CAL)

    Michel Guillot•Population Studies•2003

  • How Long Do We Live

    Open Access•John Bongaarts, Griffith Feeney•Population and Development Review•2002

  • Cause-specific contributions to black-white differences in male mortality from 1960 to 1995

    Open Access•I T Elo, Greg L Drevenstedt•Demographic Research•2004

Unique citing works1
Citations per year0,06
Citation span2009 - 2009 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae