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PCR/RFLP-Based Analysis of Genetically Distinct Plasmodium vivax Population of Pvmsp-3α and Pvmsp-3β genes in Pakistan

Overview of attention for article published in Malaria Journal, September 2014
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Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

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15 Dimensions

Readers on

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21 Mendeley
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Title
PCR/RFLP-Based Analysis of Genetically Distinct Plasmodium vivax Population of Pvmsp-3α and Pvmsp-3β genes in Pakistan
Published in
Malaria Journal, September 2014
DOI 10.1186/1475-2875-13-355
Pubmed ID
Authors

Shahid Niaz Khan, Asif Khan, Sanaullah Khan, Sultan Ayaz, Sobia Attaullah, Jabbar Khan, Muhammad Asim Khan, Ijaz Ali, Abdul Haleem Shah

Abstract

Plasmodium vivax is one of the widespread human malarial parasites accounting for 75% of malaria epidemics. However, there is no baseline information about the status and nature of genetic variation of Plasmodium species circulating in various parts of Pakistan. The present study was aimed at observing the molecular epidemiology and genetic variation of Plasmodium vivax by analysing its merozoite surface protein-3α (msp-3α) and merozoite surface protein-3β (msp-3β) genes, by using suballele, species-specific, combined nested PCR/RFLP detection techniques.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 19%
Professor > Associate Professor 3 14%
Student > Ph. D. Student 3 14%
Student > Bachelor 2 10%
Student > Doctoral Student 1 5%
Other 3 14%
Unknown 5 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 38%
Medicine and Dentistry 3 14%
Immunology and Microbiology 2 10%
Computer Science 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 1 5%
Unknown 5 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 September 2014.
All research outputs
#14,200,249
of 22,763,032 outputs
Outputs from Malaria Journal
#3,952
of 5,554 outputs
Outputs of similar age
#122,819
of 238,628 outputs
Outputs of similar age from Malaria Journal
#64
of 113 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,554 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 24th percentile – i.e., 24% 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 238,628 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.