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Plasmodium falciparum parasite population structure and gene flow associated to anti-malarial drugs resistance in Cambodia

Overview of attention for article published in Malaria Journal, June 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

news
1 news outlet
twitter
8 tweeters

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
47 Mendeley
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Title
Plasmodium falciparum parasite population structure and gene flow associated to anti-malarial drugs resistance in Cambodia
Published in
Malaria Journal, June 2016
DOI 10.1186/s12936-016-1370-y
Pubmed ID
Authors

Ankit Dwivedi, Nimol Khim, Christelle Reynes, Patrice Ravel, Laurence Ma, Magali Tichit, Christiane Bourchier, Saorin Kim, Dany Dourng, Chanra Khean, Pheaktra Chim, Sovannaroth Siv, Roger Frutos, Dysoley Lek, Odile Mercereau-Puijalon, Frédéric Ariey, Didier Menard, Emmanuel Cornillot

Abstract

Western Cambodia is recognized as the epicentre of emergence of Plasmodium falciparum multi-drug resistance. The emergence of artemisinin resistance has been observed in this area since 2008-2009 and molecular signatures associated to artemisinin resistance have been characterized in k13 gene. At present, one of the major threats faced, is the possible spread of Asian artemisinin resistant parasites over the world threatening millions of people and jeopardizing malaria elimination programme efforts. To anticipate the diffusion of artemisinin resistance, the identification of the P. falciparum population structure and the gene flow among the parasite population in Cambodia are essential. To this end, a mid-throughput PCR-LDR-FMA approach based on LUMINEX technology was developed to screen for genetic barcode in 533 blood samples collected in 2010-2011 from 16 health centres in malaria endemics areas in Cambodia. Based on successful typing of 282 samples, subpopulations were characterized along the borders of the country. Each 11-loci barcode provides evidence supporting allele distribution gradient related to subpopulations and gene flow. The 11-loci barcode successfully identifies recently emerging parasite subpopulations in western Cambodia that are associated with the C580Y dominant allele for artemisinin resistance in k13 gene. A subpopulation was identified in northern Cambodia that was associated to artemisinin (R539T resistant allele of k13 gene) and mefloquine resistance. The gene flow between these subpopulations might have driven the spread of artemisinin resistance over Cambodia.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 26%
Student > Master 7 15%
Student > Ph. D. Student 5 11%
Student > Bachelor 4 9%
Other 3 6%
Other 5 11%
Unknown 11 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 17%
Agricultural and Biological Sciences 8 17%
Medicine and Dentistry 6 13%
Immunology and Microbiology 5 11%
Nursing and Health Professions 2 4%
Other 6 13%
Unknown 12 26%

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 24 September 2019.
All research outputs
#1,745,091
of 17,365,229 outputs
Outputs from Malaria Journal
#413
of 4,797 outputs
Outputs of similar age
#29,247
of 226,664 outputs
Outputs of similar age from Malaria Journal
#1
of 1 outputs
Altmetric has tracked 17,365,229 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 4,797 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 91% 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 226,664 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 87% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them