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Species and genotype diversity of Plasmodium in malaria patients from Gabon analysed by next generation sequencing

Overview of attention for article published in Malaria Journal, October 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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1 blog
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9 X users
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1 Facebook page

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48 Dimensions

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176 Mendeley
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Title
Species and genotype diversity of Plasmodium in malaria patients from Gabon analysed by next generation sequencing
Published in
Malaria Journal, October 2017
DOI 10.1186/s12936-017-2044-0
Pubmed ID
Authors

Albert Lalremruata, Sankarganesh Jeyaraj, Thomas Engleitner, Fanny Joanny, Annika Lang, Sabine Bélard, Ghyslain Mombo-Ngoma, Michael Ramharter, Peter G. Kremsner, Benjamin Mordmüller, Jana Held

Abstract

Six Plasmodium species are known to naturally infect humans. Mixed species infections occur regularly but morphological discrimination by microscopy is difficult and multiplicity of infection (MOI) can only be evaluated by molecular methods. This study investigated the complexity of Plasmodium infections in patients treated for microscopically detected non-falciparum or mixed species malaria in Gabon. Ultra-deep sequencing of nucleus (18S rRNA), mitochondrion, and apicoplast encoded genes was used to evaluate Plasmodium species diversity and MOI in 46 symptomatic Gabonese patients with microscopically diagnosed non-falciparum or mixed species malaria. Deep sequencing revealed a large complexity of confections in patients with uncomplicated malaria, both on species and genotype levels. Mixed infections involved up to four parasite species (Plasmodium falciparum, Plasmodium malariae, Plasmodium ovale curtisi, and P. ovale wallikeri). Multiple genotypes from each species were determined from the asexual 18S rRNA gene. 17 of 46 samples (37%) harboured multiple genotypes of at least one Plasmodium species. The number of genotypes per sample (MOI) was highest in P. malariae (n = 4), followed by P. ovale curtisi (n = 3), P. ovale wallikeri (n = 3), and P. falciparum (n = 2). The highest combined genotype complexity in samples that contained mixed-species infections was seven. Ultra-deep sequencing showed an unexpected breadth of Plasmodium species and within species diversity in clinical samples. MOI of P. ovale curtisi, P. ovale wallikeri and P. malariae infections were higher than anticipated and contribute significantly to the burden of malaria in Gabon.

X Demographics

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The data shown below were collected from the profiles of 9 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 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 176 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 31 18%
Student > Master 26 15%
Student > Ph. D. Student 19 11%
Researcher 18 10%
Student > Postgraduate 7 4%
Other 19 11%
Unknown 56 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 40 23%
Agricultural and Biological Sciences 19 11%
Medicine and Dentistry 15 9%
Chemistry 10 6%
Immunology and Microbiology 9 5%
Other 22 13%
Unknown 61 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 June 2023.
All research outputs
#2,620,216
of 23,963,552 outputs
Outputs from Malaria Journal
#580
of 5,765 outputs
Outputs of similar age
#50,586
of 326,184 outputs
Outputs of similar age from Malaria Journal
#13
of 123 outputs
Altmetric has tracked 23,963,552 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,765 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 well, scoring higher than 89% 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 326,184 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 84% of its contemporaries.
We're also able to compare this research output to 123 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 90% of its contemporaries.