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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)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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6 X users

Citations

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49 Dimensions

Readers on

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133 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 133 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 19%
Researcher 24 18%
Student > Master 19 14%
Student > Bachelor 12 9%
Student > Doctoral Student 8 6%
Other 22 17%
Unknown 23 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 40 30%
Agricultural and Biological Sciences 21 16%
Immunology and Microbiology 13 10%
Medicine and Dentistry 11 8%
Nursing and Health Professions 3 2%
Other 17 13%
Unknown 28 21%
Attention Score in Context

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
#7,030,033
of 23,646,998 outputs
Outputs from Malaria Journal
#1,997
of 5,664 outputs
Outputs of similar age
#118,350
of 327,703 outputs
Outputs of similar age from Malaria Journal
#46
of 121 outputs
Altmetric has tracked 23,646,998 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 5,664 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 63% 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 327,703 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 121 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.