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A unified framework of demographic time

Overview of attention for article published in Genus, August 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#23 of 178)
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

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31 X users
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1 Facebook page

Citations

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7 Dimensions

Readers on

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16 Mendeley
Title
A unified framework of demographic time
Published in
Genus, August 2017
DOI 10.1186/s41118-017-0024-4
Pubmed ID
Authors

Tim Riffe, Jonas Schöley, Francisco Villavicencio

Abstract

Demographic thought and practice is largely conditioned by the Lexis diagram, a two-dimensional graphical representation of the identity between age, period, and birth cohort. This relationship does not account for remaining years of life, total length of life, or time of death, whose use in demographic research is both underrepresented and incompletely situated. We describe an identity between these six demographic time measures and describe the sub-identities and diagrams that pertain to this identity. We provide an application of this framework to the measurement of late-life morbidity prevalence. We generalize these relationships to higher order identities derived from an arbitrary number of events in calendar time. Our examples are based on classic human demography, but the concepts we present can reveal patterns and relationships in any event history data, and contribute to the study of human or non-human population dynamics measured on any scale of calendar time.

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 X users 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 44%
Researcher 3 19%
Professor 2 13%
Student > Bachelor 2 13%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 1 6%
Readers by discipline Count As %
Social Sciences 5 31%
Psychology 2 13%
Economics, Econometrics and Finance 2 13%
Agricultural and Biological Sciences 1 6%
Computer Science 1 6%
Other 1 6%
Unknown 4 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 06 March 2019.
All research outputs
#1,808,503
of 25,728,350 outputs
Outputs from Genus
#23
of 178 outputs
Outputs of similar age
#34,293
of 326,682 outputs
Outputs of similar age from Genus
#1
of 2 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 178 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has done well, scoring higher than 87% 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 326,682 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 89% of its contemporaries.
We're also able to compare this research output to 2 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