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Next generation sequencing of viral RNA genomes

Overview of attention for article published in BMC Genomics, July 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

policy
1 policy source
twitter
12 X users
patent
2 patents
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
122 Dimensions

Readers on

mendeley
372 Mendeley
citeulike
2 CiteULike
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Title
Next generation sequencing of viral RNA genomes
Published in
BMC Genomics, July 2013
DOI 10.1186/1471-2164-14-444
Pubmed ID
Authors

Denise A Marston, Lorraine M McElhinney, Richard J Ellis, Daniel L Horton, Emma L Wise, Stacey L Leech, Dan David, Xavier de Lamballerie, Anthony R Fooks

Abstract

With the advent of Next Generation Sequencing (NGS) technologies, the ability to generate large amounts of sequence data has revolutionized the genomics field. Most RNA viruses have relatively small genomes in comparison to other organisms and as such, would appear to be an obvious success story for the use of NGS technologies. However, due to the relatively low abundance of viral RNA in relation to host RNA, RNA viruses have proved relatively difficult to sequence using NGS technologies. Here we detail a simple, robust methodology, without the use of ultra-centrifugation, filtration or viral enrichment protocols, to prepare RNA from diagnostic clinical tissue samples, cell monolayers and tissue culture supernatant, for subsequent sequencing on the Roche 454 platform.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 372 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 6 2%
United States 4 1%
South Africa 3 <1%
Germany 2 <1%
Spain 2 <1%
Colombia 2 <1%
United Kingdom 2 <1%
Netherlands 1 <1%
Sweden 1 <1%
Other 6 2%
Unknown 343 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 85 23%
Student > Ph. D. Student 69 19%
Student > Master 50 13%
Student > Bachelor 24 6%
Student > Doctoral Student 18 5%
Other 67 18%
Unknown 59 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 145 39%
Biochemistry, Genetics and Molecular Biology 62 17%
Immunology and Microbiology 23 6%
Medicine and Dentistry 23 6%
Veterinary Science and Veterinary Medicine 18 5%
Other 24 6%
Unknown 77 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 2023.
All research outputs
#2,263,311
of 25,641,627 outputs
Outputs from BMC Genomics
#566
of 11,296 outputs
Outputs of similar age
#18,689
of 207,043 outputs
Outputs of similar age from BMC Genomics
#14
of 186 outputs
Altmetric has tracked 25,641,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,296 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 94% 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 207,043 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 186 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.