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Health capabilities and the determinants of infant mortality in Brazil, 2004–2015: an innovative methodological framework

Overview of attention for article published in BMC Public Health, April 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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1 news outlet
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5 X users

Citations

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7 Dimensions

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51 Mendeley
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Title
Health capabilities and the determinants of infant mortality in Brazil, 2004–2015: an innovative methodological framework
Published in
BMC Public Health, April 2021
DOI 10.1186/s12889-021-10903-9
Pubmed ID
Authors

Alexandre Bugelli, Roxane Borgès Da Silva, Ladislau Dowbor, Claude Sicotte

Abstract

Despite the implementation of a set of social and health policies, Brazil has experienced a slowdown in the decline of infant mortality, regional disparities and persistent high death levels, raising questions about the determinants of infant mortality after the implementation of these policies. The objective of this article is to propose a methodological approach aiming at identifying the determinants of infant mortality in Brazil after the implementation of those policies. A series of multilevel panel data with fixed effect nested within-clusters were conducted supported by the concept of health capabilities based on data from 26 Brazilian states between 2004 and 2015. The dependent variables were the neonatal, the infant and the under-five mortality rates. The independent variables were the employment rate, per capita income, Bolsa Família Program coverage, the fertility rate, educational attainment, the number of live births by prenatal visits, the number of health professionals per thousand inhabitants, and the access to water supply and sewage services. We also used different time lags of employment rate to identify the impact of employment on the infant mortality rates over time, and household income stratified by minimum wages to analyze their effects on these rates. The results showed that in addition to variables associated with infant mortality in previous studies, such as Bolsa Família Program, per capita income and fertility rate, other factors affect child mortality. Educational attainment, quality of prenatal care and access to health professionals are also elements impacting infant deaths. The results also identified an association between employment rate and different infant mortality rates, with employment impacting neonatal mortality up to 3 years and that a family income below 2 minimum wages increases the odds of infant deaths. The results proved that the methodology proposed allowed the use of variables based on aggregated data that could hardly be used by other methodologies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 12%
Student > Master 6 12%
Student > Doctoral Student 3 6%
Student > Ph. D. Student 3 6%
Librarian 2 4%
Other 6 12%
Unknown 25 49%
Readers by discipline Count As %
Nursing and Health Professions 5 10%
Medicine and Dentistry 5 10%
Business, Management and Accounting 4 8%
Social Sciences 3 6%
Psychology 2 4%
Other 5 10%
Unknown 27 53%
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 11 May 2021.
All research outputs
#3,667,354
of 23,308,124 outputs
Outputs from BMC Public Health
#3,974
of 15,196 outputs
Outputs of similar age
#87,740
of 437,141 outputs
Outputs of similar age from BMC Public Health
#145
of 434 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,196 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has gotten more attention than average, scoring higher than 73% 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 437,141 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 79% of its contemporaries.
We're also able to compare this research output to 434 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 66% of its contemporaries.