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Mathematical model of the Tat-Rev regulation of HIV-1 replication in an activated cell predicts the existence of oscillatory dynamics in the synthesis of viral components

Overview of attention for article published in BMC Genomics, December 2014
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1 X user

Citations

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29 Mendeley
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Title
Mathematical model of the Tat-Rev regulation of HIV-1 replication in an activated cell predicts the existence of oscillatory dynamics in the synthesis of viral components
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-s12-s1
Pubmed ID
Authors

Vitaly A Likhoshvai, Tamara M Khlebodarova, Sergei I Bazhan, Irina A Gainova, Valery A Chereshnev, Gennady A Bocharov

Abstract

The life cycle of human immunodeficiency virus type-1 (HIV-1) makes possible the realization of regulatory strategies that can lead to complex dynamical behavior of the system. We analyze the strategy which is based on two feedback mechanisms, one mediating a positive regulation of the virus replication by Tat protein via the antitermination of the genomic RNAs transcription on TAR (transactivation responsive) element of the proviral DNA and the second mechanism providing a negative regulation of the splicing of the full-length (9 kb) RNAs and incompletely spliced (4 kb) RNAs via their transport from the nucleus to the cytoplasm. Although the existence of these two regulatory feedback loops has been considered in other mathematical models, none of them examined the conditions for the emergence of complex oscillatory patterns in the intracellular dynamics of viral components.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 3%
United States 1 3%
Denmark 1 3%
Unknown 26 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 45%
Researcher 6 21%
Professor 1 3%
Student > Doctoral Student 1 3%
Student > Bachelor 1 3%
Other 1 3%
Unknown 6 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 31%
Agricultural and Biological Sciences 6 21%
Immunology and Microbiology 2 7%
Chemical Engineering 1 3%
Computer Science 1 3%
Other 3 10%
Unknown 7 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 January 2015.
All research outputs
#15,314,171
of 22,776,824 outputs
Outputs from BMC Genomics
#6,684
of 10,643 outputs
Outputs of similar age
#208,910
of 353,131 outputs
Outputs of similar age from BMC Genomics
#151
of 238 outputs
Altmetric has tracked 22,776,824 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,643 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 353,131 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 238 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.