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Developing regional weight-for-age growth references for malaria-endemic countries to optimize age-based dosing of antimalarials

Overview of attention for article published in Bulletin of the World Health Organization, November 2014
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  • Average Attention Score compared to outputs of the same age and source

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1 policy source
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1 Facebook page

Citations

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26 Dimensions

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35 Mendeley
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Title
Developing regional weight-for-age growth references for malaria-endemic countries to optimize age-based dosing of antimalarials
Published in
Bulletin of the World Health Organization, November 2014
DOI 10.2471/blt.14.139113
Pubmed ID
Authors

Daniel J Hayes, Stef van Buuren, Feiko O ter Kuile, D Mikis Stasinopoulos, Robert A Rigby, Dianne J Terlouw

Abstract

To derive regional weight-for-age growth references to help optimize age-based dosing of antimalarials in Africa, the Americas, South-East Asia and the Western Pacific. A weight-for-age database was constructed from pre-existing population-based anthropometric data obtained from household surveys and research groups. It contained data collected between 1995 and 2012 on 1 263 119 individuals (909 368 female, 353 751 male) older than 14 days and younger than 50 years in 64 malaria-endemic countries. Regional growth references were generated using a generalized additive model for location, scale and shape by combining data with varying distributions from a range of sources. Countries were weighted by their population at risk of malaria to enable references to be used in optimizing the dosing of antimalarials. Large differences in weight-for-age distributions existed between the regions and between the regions and global growth standards. For example, the average adult male from the Americas weighed 68.1 kg - 6.0 kg more than males in South-East Asia and the Western Pacific (average: 62.1 kg). For adult women, the difference was over 10.4 kg: the average was 60.4 kg in the Americas and 50.0 kg in South-East Asia and the Western Pacific. There were substantial variations in weight-for-age growth curves between malaria-endemic areas. The growth reference charts derived here can be used to guide the evidence-based optimization of aged-based dosing regimens for antimalarials and other drugs often prescribed by age.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 20%
Student > Ph. D. Student 6 17%
Other 4 11%
Student > Master 4 11%
Student > Postgraduate 2 6%
Other 3 9%
Unknown 9 26%
Readers by discipline Count As %
Medicine and Dentistry 10 29%
Nursing and Health Professions 3 9%
Agricultural and Biological Sciences 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 6 17%
Unknown 10 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 August 2018.
All research outputs
#8,505,156
of 25,986,827 outputs
Outputs from Bulletin of the World Health Organization
#84
of 286 outputs
Outputs of similar age
#108,858
of 372,156 outputs
Outputs of similar age from Bulletin of the World Health Organization
#10
of 17 outputs
Altmetric has tracked 25,986,827 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 286 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 71% 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 372,156 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.