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Monitoring the impact of decentralised chronic care services on patient travel time in rural Africa - methods and results in Northern Malawi

Overview of attention for article published in International Journal of Health Geographics, January 2012
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1 Facebook page

Citations

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23 Dimensions

Readers on

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75 Mendeley
Summary Facebook Dimensions citations
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Title
Monitoring the impact of decentralised chronic care services on patient travel time in rural Africa - methods and results in Northern Malawi
Published in
International Journal of Health Geographics, January 2012
DOI 10.1186/1476-072x-11-49
Pubmed ID
23153311
Authors

Rein MGJ Houben, Thomas P Van Boeckel, Venance Mwinuka, Peter Mzumara, Keith Branson, Catherine Linard, Frank Chimbwandira, Neil French, Judith R Glynn, Amelia C Crampin

Abstract

Decentralised health services form a key part of chronic care strategies in resource-limited settings by reducing the distance between patient and clinic and thereby the time and costs involved in travelling. However, few tools exist to evaluate the impact of decentralisation on patient travel time or what proportion of patients attend their nearest clinic. Here we develop methods to monitor changes in travel time, using data from the antiretroviral therapy (ART) roll-out in a rural district in North Malawi.

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Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 3%
Canada 1 1%
Unknown 72 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 24%
Student > Ph. D. Student 14 19%
Student > Master 12 16%
Unspecified 4 5%
Librarian 3 4%
Other 12 16%
Unknown 12 16%
Readers by discipline Count As %
Medicine and Dentistry 20 27%
Social Sciences 10 13%
Agricultural and Biological Sciences 5 7%
Unspecified 4 5%
Decision Sciences 3 4%
Other 15 20%
Unknown 18 24%

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 16 November 2012.
All research outputs
#20,172,971
of 22,685,926 outputs
Outputs from International Journal of Health Geographics
#547
of 627 outputs
Outputs of similar age
#221,211
of 244,123 outputs
Outputs of similar age from International Journal of Health Geographics
#35
of 44 outputs
Altmetric has tracked 22,685,926 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 627 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. 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 244,123 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 44 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.

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