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Multiple comparisons analysis of serological data from an area of low Plasmodium falciparum transmission

Overview of attention for article published in Malaria Journal, November 2015
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Title
Multiple comparisons analysis of serological data from an area of low Plasmodium falciparum transmission
Published in
Malaria Journal, November 2015
DOI 10.1186/s12936-015-0955-1
Pubmed ID
Authors

Eric Rogier, Ryan Wiegand, Delynn Moss, Jeff Priest, Evelina Angov, Sheetij Dutta, Ito Journel, Samuel E. Jean, Kimberly Mace, Michelle Chang, Jean Frantz Lemoine, Venkatachalam Udhayakumar, John W. Barnwell

Abstract

As a nation reduces the burden of falciparum malaria, identifying areas of transmission becomes increasingly difficult. Over the past decade, the field of utilizing malaria serological assays to measure exposure has grown rapidly, and a variety of serological methods for data acquisition and analysis of human IgG against falciparum antigens are available. Here, different immunoassays and statistical methods are utilized to analyse samples from a low transmission setting and directly compare the estimates generated. A subset of samples (n = 580) from a 2012 Haitian nationwide malaria survey was employed as sample population of low falciparum endemicity. In addition to the Haitian samples, samples from 247 US residents were used as a reference population of 'true seronegatives'. Data acquisition was performed through standard ELISA and bead-based multiplex assays assaying for IgG antibodies to the Plasmodium falciparum antigens MSP-1p19, MSP-1p42(D), MSP-1p42(F), and AMA-1. Appropriate parametric distributions and seropositivity cutoff values were determined by statistical measures. Data from both assays showed a strong positive skew, and the lognormal distribution was found to be an appropriate statistical fit to the Haitian and American populations. The American samples served as a good serological true negative population for the multiplex assay, but not for ELISA-based data. Mixture model approaches to determine seronegative and seropositive populations from the Haitian data showed a high degree of distribution overlap-likely due to the historical low falciparum transmission in this nation. Different fittings to the reversible catalytic model resulted depending upon the immunoassay utilized and seropositivity cutoff method employed. Data were also analysed through fitting to penalized B-splines, presenting another possible analytical tool for the analysis of malaria serological data. Standardization of serological techniques and analyses may prove difficult as some tools can prove to be more useful depending on the area and parasite in question, making clear interpretation a vital pursuit. The presented analysis in the low-endemic nation of Haiti found malaria-naive US residents to be an appropriate seronegative reference population for the multiplex assay, and this assay providing consistent estimates between MSP-1 and AMA-1 antigens of percent seropositives for this low-endemic population.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
United States 1 1%
Unknown 68 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 23%
Student > Master 15 21%
Student > Ph. D. Student 12 17%
Student > Doctoral Student 4 6%
Other 3 4%
Other 5 7%
Unknown 15 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 20%
Medicine and Dentistry 13 19%
Immunology and Microbiology 5 7%
Biochemistry, Genetics and Molecular Biology 4 6%
Social Sciences 3 4%
Other 13 19%
Unknown 18 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 February 2016.
All research outputs
#14,828,066
of 22,832,057 outputs
Outputs from Malaria Journal
#4,238
of 5,572 outputs
Outputs of similar age
#157,700
of 285,322 outputs
Outputs of similar age from Malaria Journal
#99
of 150 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,572 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 19th percentile – i.e., 19% 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 285,322 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 150 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.