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Polygynous Contexts, Family Structure, and Infant Mortality in Sub-Saharan Africa

Overview of attention for article published in Demography, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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35 X users
wikipedia
1 Wikipedia page
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1 YouTube creator

Citations

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62 Dimensions

Readers on

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120 Mendeley
Title
Polygynous Contexts, Family Structure, and Infant Mortality in Sub-Saharan Africa
Published in
Demography, January 2014
DOI 10.1007/s13524-013-0262-9
Pubmed ID
Authors

Emily Smith-Greenaway, Jenny Trinitapoli

Abstract

Contextual characteristics influence infant mortality above and beyond family-level factors. The widespread practice of polygyny is one feature of many sub-Saharan African contexts that may be relevant to understanding patterns of infant mortality. Building on evidence that the prevalence of polygyny reflects broader economic, social, and cultural features and that it has implications for how families engage in the practice, we investigate whether and how the prevalence of polygyny (1) spills over to elevate infant mortality for all families, and (2) conditions the survival disadvantage for children living in polygynous families (i.e., compared with monogamous families). We use data from Demographic and Health Surveys to estimate multilevel hazard models that identify associations between infant mortality and region-level prevalence of polygyny for 236,336 children in 260 subnational regions across 29 sub-Saharan African countries. We find little evidence that the prevalence of polygyny influences mortality for infants in nonpolygynous households net of region-level socioeconomic factors and gender inequality. However, the prevalence of polygyny significantly amplifies the survival disadvantage for infants in polygynous families. Our findings demonstrate that considering the broader marital context reveals important insights into the relationship between family structure and child well-being.

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Japan 1 <1%
Ethiopia 1 <1%
Colombia 1 <1%
Unknown 116 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 20%
Student > Master 20 17%
Researcher 15 13%
Student > Bachelor 9 8%
Student > Doctoral Student 7 6%
Other 19 16%
Unknown 26 22%
Readers by discipline Count As %
Social Sciences 30 25%
Nursing and Health Professions 11 9%
Economics, Econometrics and Finance 10 8%
Medicine and Dentistry 8 7%
Agricultural and Biological Sciences 7 6%
Other 19 16%
Unknown 35 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 01 August 2023.
All research outputs
#1,322,917
of 24,960,237 outputs
Outputs from Demography
#356
of 2,022 outputs
Outputs of similar age
#14,601
of 317,845 outputs
Outputs of similar age from Demography
#7
of 14 outputs
Altmetric has tracked 24,960,237 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,022 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has done well, scoring higher than 82% 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 317,845 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.