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Development of amplicon deep sequencing markers and data analysis pipeline for genotyping multi-clonal malaria infections

Overview of attention for article published in BMC Genomics, November 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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1 policy source
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Citations

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Title
Development of amplicon deep sequencing markers and data analysis pipeline for genotyping multi-clonal malaria infections
Published in
BMC Genomics, November 2017
DOI 10.1186/s12864-017-4260-y
Pubmed ID
Authors

Anita Lerch, Cristian Koepfli, Natalie E. Hofmann, Camilla Messerli, Stephen Wilcox, Johanna H. Kattenberg, Inoni Betuela, Liam O’Connor, Ivo Mueller, Ingrid Felger

Abstract

Amplicon deep sequencing permits sensitive detection of minority clones and improves discriminatory power for genotyping multi-clone Plasmodium falciparum infections. New amplicon sequencing and data analysis protocols are needed for genotyping in epidemiological studies and drug efficacy trials of P. falciparum. Targeted sequencing of molecular marker csp and novel marker cpmp was conducted in duplicate on mixtures of parasite culture strains and 37 field samples. A protocol allowing to multiplex up to 384 samples in a single sequencing run was applied. Software "HaplotypR" was developed for data analysis. Cpmp was highly diverse (He = 0.96) in contrast to csp (He = 0.57). Minority clones were robustly detected if their frequency was >1%. False haplotype calls owing to sequencing errors were observed below that threshold. To reliably detect haplotypes at very low frequencies, experiments are best performed in duplicate and should aim for coverage of >10'000 reads/amplicon. When compared to length polymorphic marker msp2, highly multiplexed amplicon sequencing displayed greater sensitivity in detecting minority clones.

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 97 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 22%
Student > Master 16 16%
Student > Ph. D. Student 15 15%
Student > Bachelor 11 11%
Student > Postgraduate 4 4%
Other 7 7%
Unknown 23 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 27%
Biochemistry, Genetics and Molecular Biology 21 21%
Medicine and Dentistry 7 7%
Immunology and Microbiology 4 4%
Computer Science 3 3%
Other 11 11%
Unknown 26 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 11 November 2021.
All research outputs
#6,288,996
of 25,292,646 outputs
Outputs from BMC Genomics
#2,375
of 11,212 outputs
Outputs of similar age
#92,321
of 333,412 outputs
Outputs of similar age from BMC Genomics
#40
of 203 outputs
Altmetric has tracked 25,292,646 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,212 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 78% 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 333,412 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 203 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.