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Fine and Gray competing risk regression model to study the cause-specific under-five child mortality in Bangladesh

Overview of attention for article published in BMC Public Health, January 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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1 news outlet
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Citations

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127 Mendeley
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Title
Fine and Gray competing risk regression model to study the cause-specific under-five child mortality in Bangladesh
Published in
BMC Public Health, January 2017
DOI 10.1186/s12914-017-0112-8
Pubmed ID
Authors

Khandoker Akib Mohammad, Most. Fatima-Tuz-Zahura, Wasimul Bari

Abstract

The cause-specific under-five mortality of Bangladesh has been studied by fitting cumulative incidence function (CIF) based Fine and Gray competing risk regression model (1999). For the purpose of analysis, Bangladesh Demographic and Health Survey (BDHS), 2011 data set was used. Three types of mode of mortality for the under-five children are considered. These are disease, non-disease and other causes. Product-Limit survival probabilities for the under-five child mortality with log-rank test were used to select a set of covariates for the regression model. The covariates found to have significant association in bivariate analysis were only considered in the regression analysis. Potential determinants of under-five child mortality due to disease is size of child at birth, while gender of child, NGO (non-government organization) membership of mother, mother's education level, and size of child at birth are due to non-disease and age of mother at birth, NGO membership of mother, and mother's education level are for the mortality due to other causes. Female participation in the education programs needs to be increased because of the improvement of child health and government should arrange family and social awareness programs as well as health related programs for women so that they are aware of their child health.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 127 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 22 17%
Student > Master 21 17%
Student > Bachelor 12 9%
Researcher 11 9%
Student > Doctoral Student 7 6%
Other 15 12%
Unknown 39 31%
Readers by discipline Count As %
Nursing and Health Professions 37 29%
Medicine and Dentistry 19 15%
Social Sciences 10 8%
Mathematics 7 6%
Unspecified 4 3%
Other 8 6%
Unknown 42 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 12 September 2022.
All research outputs
#3,343,953
of 25,377,790 outputs
Outputs from BMC Public Health
#4,119
of 17,517 outputs
Outputs of similar age
#64,782
of 423,378 outputs
Outputs of similar age from BMC Public Health
#66
of 209 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 76% 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 423,378 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 84% of its contemporaries.
We're also able to compare this research output to 209 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 68% of its contemporaries.