↓ Skip to main content

Plasmodium copy number variation scan: gene copy numbers evaluation in haploid genomes

Overview of attention for article published in Malaria Journal, April 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
61 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Plasmodium copy number variation scan: gene copy numbers evaluation in haploid genomes
Published in
Malaria Journal, April 2016
DOI 10.1186/s12936-016-1258-x
Pubmed ID
Authors

Johann Beghain, Anne-Claire Langlois, Eric Legrand, Laura Grange, Nimol Khim, Benoit Witkowski, Valentine Duru, Laurence Ma, Christiane Bouchier, Didier Ménard, Richard E. Paul, Frédéric Ariey

Abstract

In eukaryotic genomes, deletion or amplification rates have been estimated to be a thousand more frequent than single nucleotide variation. In Plasmodium falciparum, relatively few transcription factors have been identified, and the regulation of transcription is seemingly largely influenced by gene amplification events. Thus copy number variation (CNV) is a major mechanism enabling parasite genomes to adapt to new environmental changes. Currently, the detection of CNVs is based on quantitative PCR (qPCR), which is significantly limited by the relatively small number of genes that can be analysed at any one time. Technological advances that facilitate whole-genome sequencing, such as next generation sequencing (NGS) enable deeper analyses of the genomic variation to be performed. Because the characteristics of Plasmodium CNVs need special consideration in algorithms and strategies for which classical CNV detection programs are not suited a dedicated algorithm to detect CNVs across the entire exome of P. falciparum was developed. This algorithm is based on a custom read depth strategy through NGS data and called PlasmoCNVScan. The analysis of CNV identification on three genes known to have different levels of amplification and which are located either in the nuclear, apicoplast or mitochondrial genomes is presented. The results are correlated with the qPCR experiments, usually used for identification of locus specific amplification/deletion. This tool will facilitate the study of P. falciparum genomic adaptation in response to ecological changes: drug pressure, decreased transmission, reduction of the parasite population size (transition to pre-elimination endemic area).

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Student > Master 11 18%
Researcher 8 13%
Student > Bachelor 6 10%
Student > Doctoral Student 2 3%
Other 6 10%
Unknown 16 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 23%
Biochemistry, Genetics and Molecular Biology 11 18%
Immunology and Microbiology 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Computer Science 3 5%
Other 6 10%
Unknown 18 30%
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 19 April 2016.
All research outputs
#14,257,527
of 22,862,742 outputs
Outputs from Malaria Journal
#3,969
of 5,573 outputs
Outputs of similar age
#160,727
of 300,876 outputs
Outputs of similar age from Malaria Journal
#123
of 175 outputs
Altmetric has tracked 22,862,742 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 5,573 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 300,876 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 175 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.