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Malaria elimination: moving forward with spatial decision support systems

Overview of attention for article published in Trends in Parasitology, May 2012
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4 X users

Citations

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58 Dimensions

Readers on

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188 Mendeley
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Title
Malaria elimination: moving forward with spatial decision support systems
Published in
Trends in Parasitology, May 2012
DOI 10.1016/j.pt.2012.04.002
Pubmed ID
Authors

Gerard C. Kelly, Marcel Tanner, Andrew Vallely, Archie Clements

Abstract

Operational challenges facing contemporary malaria elimination have distinct geospatial elements including the need for high-resolution location-based surveillance, targeted prevention and response interventions, and effective delivery of essential services at optimum levels of coverage. Although mapping and geographical reconnaissance (GR) has traditionally played an important role in supporting malaria control and eradication, its full potential as an applied health systems tool has not yet been fully realised. As accessibility to global positioning system (GPS), geographic information system (GIS) and mobile computing technology increases, the role of an integrated spatial decision support system (SDSS) framework for supporting the increased operational demands of malaria elimination requires further exploration, validation and application; particularly in the context of resource-poor settings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Indonesia 2 1%
United Kingdom 2 1%
Canada 2 1%
Sweden 1 <1%
Netherlands 1 <1%
Brazil 1 <1%
Unknown 176 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 22%
Researcher 33 18%
Student > Ph. D. Student 33 18%
Other 14 7%
Student > Doctoral Student 10 5%
Other 32 17%
Unknown 25 13%
Readers by discipline Count As %
Medicine and Dentistry 36 19%
Agricultural and Biological Sciences 32 17%
Environmental Science 16 9%
Computer Science 14 7%
Earth and Planetary Sciences 14 7%
Other 41 22%
Unknown 35 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 May 2012.
All research outputs
#14,474,215
of 25,374,647 outputs
Outputs from Trends in Parasitology
#1,873
of 2,303 outputs
Outputs of similar age
#98,075
of 176,396 outputs
Outputs of similar age from Trends in Parasitology
#15
of 23 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,303 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 18th percentile – i.e., 18% 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 176,396 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.