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Trends in causes of death among children under 5 in Bangladesh, 1993-2004: an exercise applying a standardized computer algorithm to assign causes of death using verbal autopsy data

Overview of attention for article published in Population Health Metrics, August 2011
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Title
Trends in causes of death among children under 5 in Bangladesh, 1993-2004: an exercise applying a standardized computer algorithm to assign causes of death using verbal autopsy data
Published in
Population Health Metrics, August 2011
DOI 10.1186/1478-7954-9-43
Pubmed ID
Authors

Li Liu, Qingfeng Li, Rose A Lee, Ingrid K Friberg, Jamie Perin, Neff Walker, Robert E Black

Abstract

Trends in the causes of child mortality serve as important global health information to guide efforts to improve child survival. With child mortality declining in Bangladesh, the distribution of causes of death also changes. The three verbal autopsy (VA) studies conducted with the Bangladesh Demographic and Health Surveys provide a unique opportunity to study these changes in child causes of death.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Bangladesh 1 1%
Unknown 78 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 27%
Student > Master 12 15%
Student > Ph. D. Student 9 11%
Student > Postgraduate 8 10%
Student > Bachelor 6 8%
Other 10 13%
Unknown 13 16%
Readers by discipline Count As %
Medicine and Dentistry 33 42%
Social Sciences 10 13%
Agricultural and Biological Sciences 5 6%
Nursing and Health Professions 4 5%
Computer Science 2 3%
Other 10 13%
Unknown 15 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 September 2011.
All research outputs
#17,646,807
of 22,651,245 outputs
Outputs from Population Health Metrics
#327
of 391 outputs
Outputs of similar age
#97,530
of 119,803 outputs
Outputs of similar age from Population Health Metrics
#20
of 20 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 391 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 119,803 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.