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Validation of the ligase detection reaction fluorescent microsphere assay for the detection of Plasmodium falciparum resistance mediating polymorphisms in Uganda

Overview of attention for article published in Malaria Journal, March 2014
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54 Mendeley
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Title
Validation of the ligase detection reaction fluorescent microsphere assay for the detection of Plasmodium falciparum resistance mediating polymorphisms in Uganda
Published in
Malaria Journal, March 2014
DOI 10.1186/1475-2875-13-95
Pubmed ID
Authors

Sheila Nankoberanyi, George W Mbogo, Norbert P LeClair, Melissa D Conrad, Patrick Tumwebaze, Stephen Tukwasibwe, Moses R Kamya, Jordan Tappero, Samuel L Nsobya, Philip J Rosenthal

Abstract

Malaria remains a major public health problem, and its control has been hampered by drug resistance. For a number of drugs, Plasmodium falciparum single nucleotide polymorphisms (SNPs) are associated with altered drug sensitivity and can be used as markers of drug resistance. Several techniques have been studied to assess resistance markers. The most widely used methodology is restriction fragment length polymorphism (RFLP) analysis. The ligase detection reaction fluorescent microsphere (LDR-FM) assay was recently shown to provide high throughput assessment of P. falciparum SNPs associated with drug resistance. The aim of this study was to validate the reliability and accuracy of the LDR-FM assay in a field setting.

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Burkina Faso 1 2%
Unknown 51 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Researcher 9 17%
Student > Master 8 15%
Student > Bachelor 5 9%
Lecturer 3 6%
Other 11 20%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 22%
Medicine and Dentistry 12 22%
Biochemistry, Genetics and Molecular Biology 7 13%
Computer Science 4 7%
Engineering 3 6%
Other 10 19%
Unknown 6 11%

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 28 March 2014.
All research outputs
#11,140,367
of 12,524,647 outputs
Outputs from Malaria Journal
#3,377
of 3,658 outputs
Outputs of similar age
#158,908
of 189,820 outputs
Outputs of similar age from Malaria Journal
#6
of 8 outputs
Altmetric has tracked 12,524,647 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 3,658 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 189,820 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.