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Phylogenetic prediction of cis-acting elements: a cre-like sequence in Norovirus genome?

Overview of attention for article published in BMC Research Notes, September 2009
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Title
Phylogenetic prediction of cis-acting elements: a cre-like sequence in Norovirus genome?
Published in
BMC Research Notes, September 2009
DOI 10.1186/1756-0500-2-176
Pubmed ID
Authors

Matías Victoria, Rodney Colina, Marize Pereira Miagostovich, José P Leite, Juan Cristina

Abstract

Discrete RNA structures such as cis-acting replication elements (cre) in the coding region of RNA virus genomes create characteristic suppression of synonymous site variability (SSSV). Different phylogenetic methods have been developed to predict secondary structures in RNA viruses, for high-resolution thermodynamic scanning and for detecting SSSV. These approaches have been successfully in predicting cis-acting signals in different members of the family Picornaviridae and Caliciviridae. In order to gain insight into the identification of cis-acting signals in viruses whose mechanisms of replication are currently unknown, we performed a phylogenetic analysis of complete genome sequences from 49 Human Norovirus (NoV) strains.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Brazil 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 27%
Student > Master 5 17%
Researcher 5 17%
Other 3 10%
Student > Postgraduate 2 7%
Other 2 7%
Unknown 5 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 47%
Biochemistry, Genetics and Molecular Biology 5 17%
Environmental Science 1 3%
Computer Science 1 3%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 7 23%
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 09 August 2013.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from BMC Research Notes
#1,376
of 4,513 outputs
Outputs of similar age
#36,679
of 103,202 outputs
Outputs of similar age from BMC Research Notes
#8
of 21 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 63% 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 103,202 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.