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HBVRegDB: Annotation, comparison, detection and visualization of regulatory elements in hepatitis B virus sequences

Overview of attention for article published in Virology Journal, December 2007
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1 Wikipedia page

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Title
HBVRegDB: Annotation, comparison, detection and visualization of regulatory elements in hepatitis B virus sequences
Published in
Virology Journal, December 2007
DOI 10.1186/1743-422x-4-136
Pubmed ID
Authors

Nattanan Panjaworayan, Stephan K Roessner, Andrew E Firth, Chris M Brown

Abstract

The many Hepadnaviridae sequences available have widely varied functional annotation. The genomes are very compact (approximately 3.2 kb) but contain multiple layers of functional regulatory elements in addition to coding regions. Key regions are subject to purifying selection, as mutations in these regions will produce non-functional viruses. These genomic sequences have been organized into a structured database to facilitate research at the molecular level. HBVRegDB is a comparative genomic analysis tool with an integrated underlying sequence database. The database contains genomic sequence data from representative viruses. In addition to INSDC and RefSeq annotation, HBVRegDB also contains expert and systematically calculated annotations (e.g. promoters) and comparative genome analysis results (e.g. blastn, tblastx). It also contains analyses based on curated HBV alignments. Information about conserved regions - including primary conservation (e.g. CDS-Plotcon) and RNA secondary structure predictions (e.g. Alidot) - is integrated into the database. A large amount of data is graphically presented using the GBrowse (Generic Genome Browser) adapted for analysis of viral genomes. Flexible query access is provided based on any annotated genomic feature. Novel regulatory motifs can be found by analysing the annotated sequences. HBVRegDB serves as a knowledge database and as a comparative genomic analysis tool for molecular biologists investigating HBV. It is publicly available and complementary to other viral and HBV focused datasets and tools http://hbvregdb.otago.ac.nz. The availability of multiple and highly annotated sequences of viral genomes in one database combined with comparative analysis tools facilitates detection of novel genomic elements.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 6%
Argentina 1 3%
Colombia 1 3%
Denmark 1 3%
United States 1 3%
Unknown 28 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 32%
Student > Ph. D. Student 6 18%
Student > Doctoral Student 3 9%
Student > Bachelor 3 9%
Student > Master 2 6%
Other 3 9%
Unknown 6 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 38%
Biochemistry, Genetics and Molecular Biology 9 26%
Medicine and Dentistry 3 9%
Immunology and Microbiology 2 6%
Social Sciences 1 3%
Other 1 3%
Unknown 5 15%
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 22 November 2017.
All research outputs
#7,472,947
of 22,846,662 outputs
Outputs from Virology Journal
#899
of 3,048 outputs
Outputs of similar age
#37,144
of 144,338 outputs
Outputs of similar age from Virology Journal
#14
of 30 outputs
Altmetric has tracked 22,846,662 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,048 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one has gotten more attention than average, scoring higher than 62% 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 144,338 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.