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Surveillance for sulfadoxine-pyrimethamine resistant malaria parasites in the Lake and Southern Zones, Tanzania, using pooling and next-generation sequencing

Overview of attention for article published in Malaria Journal, June 2017
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  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

6 tweeters


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90 Mendeley
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Surveillance for sulfadoxine-pyrimethamine resistant malaria parasites in the Lake and Southern Zones, Tanzania, using pooling and next-generation sequencing
Published in
Malaria Journal, June 2017
DOI 10.1186/s12936-017-1886-9
Pubmed ID

Jeremiah M. Ngondi, Deus S. Ishengoma, Stephanie M. Doctor, Kyaw L. Thwai, Corinna Keeler, Sigsbert Mkude, Oresto M. Munishi, Ritha A. Willilo, Shabbir Lalji, Naomi Kaspar, Chonge Kitojo, Lynn A. Paxton, Nicholas J. Hathaway, Jeffrey A. Bailey, Jonathan J. Juliano, Steven R. Meshnick, Julie Gutman


Malaria in pregnancy (MiP) remains a major public health challenge in areas of high malaria transmission. Intermittent preventive treatment in pregnancy (IPTp) with sulfadoxine-pyrimethamine (SP) is recommended to prevent the adverse consequences of MiP. The effectiveness of SP for IPTp may be reduced in areas where the dhps581 mutation (a key marker of high level SP resistance) is found; this mutation was previously reported to be common in the Tanga Region of northern Tanzania, but there are limited data from other areas. The frequency of molecular markers of SP resistance was investigated in malaria parasites from febrile patients at health centres (HC) in seven regions comprising the Lake and Southern Zones of mainland Tanzania as part of the ongoing efforts to generate national-wide data of SP resistance. A cross-sectional survey was conducted in the outpatient departments of 14 HCs in seven regions from April to June, 2015. 1750 dried blood spot (DBS) samples were collected (117 to 160 per facility) from consenting patients with positive rapid diagnostic tests for malaria, and no recent (within past 2 months) exposure to SP or related drugs. DNA was extracted from the DBS, pooled by HC, and underwent pooled targeted amplicon deep sequencing to yield estimates of mutated parasite allele frequency at each locus of interest. The dhps540 mutation was common across all 14 sites, ranging from 55 to 98.4% of sequences obtained. Frequency of the dhps581 mutation ranged from 0 to 2.4%, except at Kayanga HC (Kagera Region, Lake Zone) where 24.9% of sequences obtained were mutated. The dhfr164 mutation was detected only at Kanyanga HC (0.06%). By pooling DNA extracts, the allele frequency of mutations in 14 sites could be directly determined on a single deep-sequencing run. The dhps540 mutant was very common at all locations. Surprisingly, the dhps581 was common at one health center, but rare in all the others, suggesting that there is geographic micro-heterogeneity in mutant distribution and that accurate surveillance requires inclusion of multiple sites. A better understanding of the effect of the dhps581 mutant on the efficacy of IPTp-SP is needed.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 24%
Researcher 18 20%
Student > Master 13 14%
Student > Postgraduate 6 7%
Student > Bachelor 5 6%
Other 12 13%
Unknown 14 16%
Readers by discipline Count As %
Medicine and Dentistry 18 20%
Biochemistry, Genetics and Molecular Biology 15 17%
Economics, Econometrics and Finance 10 11%
Agricultural and Biological Sciences 10 11%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 14 16%
Unknown 19 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 June 2017.
All research outputs
of 16,639,069 outputs
Outputs from Malaria Journal
of 4,654 outputs
Outputs of similar age
of 274,942 outputs
Outputs of similar age from Malaria Journal
of 1 outputs
Altmetric has tracked 16,639,069 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,654 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 49th percentile – i.e., 49% 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 274,942 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 60% 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