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Molecular surveillance of artemisinin resistance falciparum malaria among migrant goldmine workers in Myanmar

Overview of attention for article published in Malaria Journal, March 2017
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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 (86th percentile)

Mentioned by

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21 tweeters
facebook
1 Facebook page

Citations

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8 Dimensions

Readers on

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46 Mendeley
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Title
Molecular surveillance of artemisinin resistance falciparum malaria among migrant goldmine workers in Myanmar
Published in
Malaria Journal, March 2017
DOI 10.1186/s12936-017-1753-8
Pubmed ID
Authors

Myat Htut Nyunt, Bo Wang, Khin Myo Aye, Kyin Hla Aye, Jin-Hee Han, Seong-Kyun Lee, Kay Thwe Han, Ye Htut, Eun-Taek Han

Abstract

Artemisinin resistance has been reported in Greater Mekong Sub-region countries, including Myanmar. After discovery of artemisinin resistance marker (K13), molecular surveillance on artemisinin resistance in endemic regions have been conducted. As the migrant population represents a high percentage of malaria cases, molecular surveillance of artemisinin resistance among migrant workers is of great concern. A cross-sectional survey was conducted in Shwegyin Township, where migrants work in the goldmines. Blood samples were collected from uncomplicated Plasmodium falciparum-infected migrant workers by active and passive cases screening with rapid diagnostic testing (RDT) and microscopy. Amplification and sequence analysis of artemisinin resistance molecular markers, such as k13, pfarps10, pffd, pfmdr2, pfmrp1, pfrad5, and pfcnbp, were carried out and pfmdr1 copy number analysis was conducted by real-time PCR. Among the 100 falciparum-infected patients, most were male (90%), of working age (20-40 years) with median parasite density of 11,166 parasites/µL (range 270-110,472 parasites/µL). Artemisinin resistance molecular marker, k13 mutations were detected in (21/100, 21.0%) in which composed of a validated marker, C580Y (9/21, 42.9%) and candidate markers such as P574L (5/21, 23.8%), P667T (5/21, 23.8%) and M476I (2/21, 9.5%). Underlying genetic markers predisposing to become k13 mutants were found as V127M of pfarps10 (41/100, 41.0%), D153Y of pffd (64/100, 64.0%), T484I of pfmdr2 (58/100, 58.0%) and F1390I of pfmrp1 (24/100, 24.0%). The pfmdr1 copy number analysis revealed six copy numbers (1/100, 1.0%), three (2/100, 2.0%), two (8/100, 8.0%) and only one copy number (89/100, 89.0%). Only one sample showed both k13 mutation (P667T) and multiple copy number of pfmdr1. High mutant rate of artemisinin resistance markers and relatively high pfmdr1 copy number among isolates collected from migrant goldmine workers alert the importance of containment measures among this target population. Clinical and molecular surveillance of artemisinin resistance among migrants should be scaled up.

Twitter Demographics

The data shown below were collected from the profiles of 21 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 26%
Student > Master 8 17%
Student > Ph. D. Student 5 11%
Other 4 9%
Student > Bachelor 3 7%
Other 7 15%
Unknown 7 15%
Readers by discipline Count As %
Medicine and Dentistry 11 24%
Biochemistry, Genetics and Molecular Biology 9 20%
Agricultural and Biological Sciences 6 13%
Environmental Science 4 9%
Immunology and Microbiology 4 9%
Other 4 9%
Unknown 8 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 14 March 2017.
All research outputs
#1,381,277
of 16,008,265 outputs
Outputs from Malaria Journal
#307
of 4,517 outputs
Outputs of similar age
#36,032
of 262,963 outputs
Outputs of similar age from Malaria Journal
#1
of 1 outputs
Altmetric has tracked 16,008,265 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,517 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 93% 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 262,963 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 86% 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