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A spatial model to quantify the mortality impact of service delivery in Sub-Saharan Africa: an ecological design utilizing data from South Africa

Overview of attention for article published in International Journal of Health Geographics, February 2013
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Citations

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Title
A spatial model to quantify the mortality impact of service delivery in Sub-Saharan Africa: an ecological design utilizing data from South Africa
Published in
International Journal of Health Geographics, February 2013
DOI 10.1186/1476-072x-12-8
Pubmed ID
Authors

Kurt Sartorius, Benn KD Sartorius

Abstract

Sub Saharan Africa is confronted with a wide range of interlinked health and economic problems that include high levels of mortality and poor service delivery. The objective of the paper is to develop a spatial model for Sub-Saharan Africa that can quantify the mortality impact of (poor) service delivery at sub-district level in order to integrate related health and local level policy interventions. In this regard, an expanded composite service delivery index was developed, and the data were analysed using a Bayesian Poisson spatial model.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
India 1 1%
Ethiopia 1 1%
Kenya 1 1%
Unknown 67 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 17%
Student > Master 10 14%
Student > Ph. D. Student 8 11%
Other 6 8%
Student > Doctoral Student 6 8%
Other 16 23%
Unknown 13 18%
Readers by discipline Count As %
Medicine and Dentistry 11 15%
Social Sciences 11 15%
Engineering 5 7%
Nursing and Health Professions 4 6%
Economics, Econometrics and Finance 3 4%
Other 20 28%
Unknown 17 24%
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 21 February 2013.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from International Journal of Health Geographics
#573
of 654 outputs
Outputs of similar age
#181,228
of 204,949 outputs
Outputs of similar age from International Journal of Health Geographics
#14
of 18 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 1st percentile – i.e., 1% 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 204,949 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 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.