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VISA - Vector Integration Site Analysis server: a web-based server to rapidly identify retroviral integration sites from next-generation sequencing

Overview of attention for article published in BMC Bioinformatics, July 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users
facebook
1 Facebook page

Readers on

mendeley
51 Mendeley
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Title
VISA - Vector Integration Site Analysis server: a web-based server to rapidly identify retroviral integration sites from next-generation sequencing
Published in
BMC Bioinformatics, July 2015
DOI 10.1186/s12859-015-0653-6
Pubmed ID
Authors

Jonah D. Hocum, Logan R. Battrell, Ryan Maynard, Jennifer E. Adair, Brian C. Beard, David J. Rawlings, Hans-Peter Kiem, Daniel G. Miller, Grant D. Trobridge

Abstract

Analyzing the integration profile of retroviral vectors is a vital step in determining their potential genotoxic effects and developing safer vectors for therapeutic use. Identifying retroviral vector integration sites is also important for retroviral mutagenesis screens. We developed VISA, a vector integration site analysis server, to analyze next-generation sequencing data for retroviral vector integration sites. Sequence reads that contain a provirus are mapped to the human genome, sequence reads that cannot be localized to a unique location in the genome are filtered out, and then unique retroviral vector integration sites are determined based on the alignment scores of the remaining sequence reads. VISA offers a simple web interface to upload sequence files and results are returned in a concise tabular format to allow rapid analysis of retroviral vector integration sites.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Germany 1 2%
Unknown 49 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 33%
Student > Ph. D. Student 7 14%
Student > Bachelor 5 10%
Student > Master 4 8%
Student > Postgraduate 3 6%
Other 8 16%
Unknown 7 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 31%
Biochemistry, Genetics and Molecular Biology 9 18%
Immunology and Microbiology 6 12%
Computer Science 4 8%
Engineering 3 6%
Other 5 10%
Unknown 8 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 July 2015.
All research outputs
#13,207,948
of 22,816,807 outputs
Outputs from BMC Bioinformatics
#4,002
of 7,284 outputs
Outputs of similar age
#119,643
of 262,285 outputs
Outputs of similar age from BMC Bioinformatics
#65
of 114 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 42nd percentile – i.e., 42% 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 262,285 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.