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Distinct patterns of diversity, population structure and evolution in the AMA1 genes of sympatric Plasmodium falciparum and Plasmodium vivax populations of Papua New Guinea from an area of similarly…

Overview of attention for article published in Malaria Journal, June 2014
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Title
Distinct patterns of diversity, population structure and evolution in the AMA1 genes of sympatric Plasmodium falciparum and Plasmodium vivax populations of Papua New Guinea from an area of similarly high transmission
Published in
Malaria Journal, June 2014
DOI 10.1186/1475-2875-13-233
Pubmed ID
Authors

Alicia Arnott, Johanna Wapling, Ivo Mueller, Paul A Ramsland, Peter M Siba, John C Reeder, Alyssa E Barry

Abstract

As Plasmodium falciparum and Plasmodium vivax co-exist in most malaria-endemic regions outside sub-Saharan Africa, malaria control strategies in these areas must target both species in order to succeed. Population genetic analyses can predict the effectiveness of interventions including vaccines, by providing insight into patterns of diversity and evolution. The aim of this study was to investigate the population genetics of leading malaria vaccine candidate AMA1 in sympatric P. falciparum and P. vivax populations of Papua New Guinea (PNG), an area of similarly high prevalence (Pf = 22.3 to 38.8%, Pv = 15.3 to 31.8%).

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X Demographics

The data shown below were collected from the profile of 1 X user 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 1%
United Kingdom 1 1%
Unknown 75 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 22%
Researcher 15 19%
Student > Ph. D. Student 13 17%
Student > Postgraduate 5 6%
Student > Bachelor 4 5%
Other 12 16%
Unknown 11 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 22%
Agricultural and Biological Sciences 17 22%
Medicine and Dentistry 12 16%
Immunology and Microbiology 6 8%
Nursing and Health Professions 3 4%
Other 8 10%
Unknown 14 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 June 2014.
All research outputs
#18,373,576
of 22,757,090 outputs
Outputs from Malaria Journal
#5,029
of 5,553 outputs
Outputs of similar age
#163,761
of 228,190 outputs
Outputs of similar age from Malaria Journal
#79
of 102 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,553 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 4th percentile – i.e., 4% 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 228,190 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.