↓ Skip to main content

Whole genome sequencing analysis of Plasmodium vivax using whole genome capture

Overview of attention for article published in BMC Genomics, June 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
122 Mendeley
citeulike
2 CiteULike
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
Whole genome sequencing analysis of Plasmodium vivax using whole genome capture
Published in
BMC Genomics, June 2012
DOI 10.1186/1471-2164-13-262
Pubmed ID
Authors

A Taylor Bright, Ryan Tewhey, Shira Abeles, Raul Chuquiyauri, Alejandro Llanos-Cuentas, Marcelo U Ferreira, Nicholas J Schork, Joseph M Vinetz, Elizabeth A Winzeler

Abstract

Malaria caused by Plasmodium vivax is an experimentally neglected severe disease with a substantial burden on human health. Because of technical limitations, little is known about the biology of this important human pathogen. Whole genome analysis methods on patient-derived material are thus likely to have a substantial impact on our understanding of P. vivax pathogenesis and epidemiology. For example, it will allow study of the evolution and population biology of the parasite, allow parasite transmission patterns to be characterized, and may facilitate the identification of new drug resistance genes. Because parasitemias are typically low and the parasite cannot be readily cultured, on-site leukocyte depletion of blood samples is typically needed to remove human DNA that may be 1000X more abundant than parasite DNA. These features have precluded the analysis of archived blood samples and require the presence of laboratories in close proximity to the collection of field samples for optimal pre-cryopreservation sample preparation.

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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
France 1 <1%
Pakistan 1 <1%
Brazil 1 <1%
Australia 1 <1%
India 1 <1%
United States 1 <1%
Unknown 112 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 30%
Student > Ph. D. Student 30 25%
Student > Master 11 9%
Professor > Associate Professor 7 6%
Lecturer 5 4%
Other 18 15%
Unknown 15 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 43%
Biochemistry, Genetics and Molecular Biology 22 18%
Medicine and Dentistry 10 8%
Engineering 4 3%
Immunology and Microbiology 3 2%
Other 13 11%
Unknown 17 14%
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 24 June 2012.
All research outputs
#16,048,009
of 25,374,917 outputs
Outputs from BMC Genomics
#6,103
of 11,244 outputs
Outputs of similar age
#108,041
of 177,443 outputs
Outputs of similar age from BMC Genomics
#70
of 157 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 41st percentile – i.e., 41% 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 177,443 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.