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Molecular Malaria Epidemiology: Mapping and Burden Estimates for the Democratic Republic of the Congo, 2007

Overview of attention for article published in PLOS ONE, January 2011
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1 Wikipedia page

Citations

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124 Mendeley
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Title
Molecular Malaria Epidemiology: Mapping and Burden Estimates for the Democratic Republic of the Congo, 2007
Published in
PLOS ONE, January 2011
DOI 10.1371/journal.pone.0016420
Pubmed ID
Authors

Steve M. Taylor, Jane P. Messina, Carla C. Hand, Jonathan J. Juliano, Jeremie Muwonga, Antoinette K. Tshefu, Benjamin Atua, Michael Emch, Steven R. Meshnick

Abstract

Epidemiologic data on malaria are scant in many high-burden countries including the Democratic Republic of the Congo (DRC), which suffers the second-highest global burden of malaria. Malaria control efforts in regions with challenging infrastructure require reproducible and efficient surveillance. We employed new high-throughput molecular testing to characterize the state of malaria control in the DRC and estimate childhood mortality attributable to excess malaria transmission.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 1 <1%
Pakistan 1 <1%
Unknown 119 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 19%
Researcher 21 17%
Student > Ph. D. Student 11 9%
Student > Bachelor 10 8%
Other 9 7%
Other 31 25%
Unknown 19 15%
Readers by discipline Count As %
Medicine and Dentistry 32 26%
Agricultural and Biological Sciences 21 17%
Biochemistry, Genetics and Molecular Biology 12 10%
Social Sciences 7 6%
Nursing and Health Professions 6 5%
Other 22 18%
Unknown 24 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 01 October 2013.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from PLOS ONE
#88,772
of 194,543 outputs
Outputs of similar age
#55,299
of 182,851 outputs
Outputs of similar age from PLOS ONE
#602
of 1,254 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 49th percentile – i.e., 49% 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 182,851 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,254 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.