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Molecular approaches to determine the multiplicity of Plasmodium infections

Overview of attention for article published in Malaria Journal, April 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

twitter
6 tweeters

Citations

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20 Dimensions

Readers on

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90 Mendeley
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Title
Molecular approaches to determine the multiplicity of Plasmodium infections
Published in
Malaria Journal, April 2018
DOI 10.1186/s12936-018-2322-5
Pubmed ID
Authors

Daibin Zhong, Cristian Koepfli, Liwang Cui, Guiyun Yan

Abstract

Multiplicity of infection (MOI), also termed complexity of infection (COI), is defined as the number of genetically distinct parasite strains co-infecting a single host, which is an important indicator of malaria epidemiology. PCR-based genotyping often underestimates MOI. Next generation sequencing technologies provide much more accurate and genome-wide characterization of polyclonal infections. However, complete haplotype characterization of multiclonal infections remains a challenge due to PCR artifacts and sequencing errors, and requires efficient computational tools. In this review, the advantages and limitations of current molecular approaches to determine multiplicity of malaria parasite infection are discussed.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 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 19 21%
Researcher 17 19%
Student > Master 15 17%
Student > Bachelor 10 11%
Professor 5 6%
Other 12 13%
Unknown 12 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 34%
Agricultural and Biological Sciences 17 19%
Immunology and Microbiology 9 10%
Medicine and Dentistry 6 7%
Veterinary Science and Veterinary Medicine 2 2%
Other 10 11%
Unknown 15 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 April 2018.
All research outputs
#4,914,209
of 16,639,069 outputs
Outputs from Malaria Journal
#1,618
of 4,654 outputs
Outputs of similar age
#100,935
of 282,321 outputs
Outputs of similar age from Malaria Journal
#1
of 1 outputs
Altmetric has tracked 16,639,069 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
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 has gotten more attention than average, scoring higher than 64% 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 282,321 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 63% 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