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Mapping multiple components of malaria risk for improved targeting of elimination interventions

Overview of attention for article published in Malaria Journal, November 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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30 X users

Citations

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45 Dimensions

Readers on

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127 Mendeley
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Title
Mapping multiple components of malaria risk for improved targeting of elimination interventions
Published in
Malaria Journal, November 2017
DOI 10.1186/s12936-017-2106-3
Pubmed ID
Authors

Justin M. Cohen, Arnaud Le Menach, Emilie Pothin, Thomas P. Eisele, Peter W. Gething, Philip A. Eckhoff, Bruno Moonen, Allan Schapira, David L. Smith

Abstract

There is a long history of considering the constituent components of malaria risk and the malaria transmission cycle via the use of mathematical models, yet strategic planning in endemic countries tends not to take full advantage of available disease intelligence to tailor interventions. National malaria programmes typically make operational decisions about where to implement vector control and surveillance activities based upon simple categorizations of annual parasite incidence. With technological advances, an enormous opportunity exists to better target specific malaria interventions to the places where they will have greatest impact by mapping and evaluating metrics related to a variety of risk components, each of which describes a different facet of the transmission cycle. Here, these components and their implications for operational decision-making are reviewed. For each component, related mappable malaria metrics are also described which may be measured and evaluated by malaria programmes seeking to better understand the determinants of malaria risk. Implementing tailored programmes based on knowledge of the heterogeneous distribution of the drivers of malaria transmission rather than only consideration of traditional metrics such as case incidence has the potential to result in substantial improvements in decision-making. As programmes improve their ability to prioritize their available tools to the places where evidence suggests they will be most effective, elimination aspirations may become increasingly feasible.

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 127 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 17%
Student > Master 19 15%
Researcher 17 13%
Student > Bachelor 11 9%
Other 7 6%
Other 18 14%
Unknown 34 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 16%
Medicine and Dentistry 16 13%
Nursing and Health Professions 9 7%
Computer Science 8 6%
Mathematics 7 6%
Other 30 24%
Unknown 37 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 June 2018.
All research outputs
#2,047,995
of 25,067,172 outputs
Outputs from Malaria Journal
#376
of 5,849 outputs
Outputs of similar age
#39,056
of 332,618 outputs
Outputs of similar age from Malaria Journal
#5
of 109 outputs
Altmetric has tracked 25,067,172 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,849 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 93% 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 332,618 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.