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Feasibility of using 454 pyrosequencing for studying quasispecies of the whole dengue viral genome

Overview of attention for article published in BMC Genomics, December 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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1 policy source
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3 X users

Citations

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17 Dimensions

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Title
Feasibility of using 454 pyrosequencing for studying quasispecies of the whole dengue viral genome
Published in
BMC Genomics, December 2012
DOI 10.1186/1471-2164-13-s7-s7
Pubmed ID
Authors

Kwanrutai Chin-inmanu, Aroonroong Suttitheptumrong, Duangjai Sangsrakru, Sithichoke Tangphatsornruang, Somvong Tragoonrung, Prida Malasit, Sumalee Tungpradabkul, Prapat Suriyaphol

Abstract

Dengue is the world's most common mosquito-borne viral disease. Poor proofreading by RNA polymerase during its replication results in the accumulation of mutations in its genome. This leads to a diversity of genotypes in the viral population termed quasispecies. Quasispecies play an important role in disease severity. The study of quasispecies in dengue has been hindered because of the requirement for large amounts of cloning and sequencing, which could be overcome by 454 pyrosequencing. In this study, we attempted to demonstrate the feasibility of using 454 pyrosequencing to study genome diversity of dengue virus quasispecies by sequencing a pool of known dengue viral strains.

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

Geographical breakdown

Country Count As %
United States 2 4%
Colombia 1 2%
France 1 2%
French Polynesia 1 2%
Unknown 45 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 26%
Student > Ph. D. Student 13 26%
Student > Bachelor 8 16%
Student > Master 5 10%
Lecturer 3 6%
Other 6 12%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 48%
Biochemistry, Genetics and Molecular Biology 8 16%
Medicine and Dentistry 7 14%
Immunology and Microbiology 6 12%
Social Sciences 1 2%
Other 1 2%
Unknown 3 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 05 April 2016.
All research outputs
#5,442,991
of 22,693,205 outputs
Outputs from BMC Genomics
#2,185
of 10,616 outputs
Outputs of similar age
#56,192
of 278,840 outputs
Outputs of similar age from BMC Genomics
#89
of 381 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 79% 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 278,840 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 381 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.