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Role of microRNAs in Arbovirus/Vector Interactions

Overview of attention for article published in Viruses, September 2014
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Title
Role of microRNAs in Arbovirus/Vector Interactions
Published in
Viruses, September 2014
DOI 10.3390/v6093514
Pubmed ID
Authors

Sassan Asgari

Abstract

The role of microRNAs (miRNAs) as small non-coding RNAs in regulation of gene expression has been recognized. They appear to be involved in regulation of a wide range of cellular pathways that affect several biological processes such as development, the immune system, survival, metabolism and host-pathogen interactions. Arthropod-borne viruses impose great economic and health risks around the world. Recent advances in miRNA biology have shed some light on the role of these small RNAs in vector-virus interactions. In this review, I will reflect on our current knowledge on the role of miRNAs in arbovirus-vector interactions and the potential avenues for their utilization in limiting virus replication and/or transmission.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 1 1%
Madagascar 1 1%
Unknown 87 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 21%
Researcher 15 16%
Student > Bachelor 9 10%
Student > Master 9 10%
Student > Doctoral Student 7 8%
Other 10 11%
Unknown 22 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 34%
Biochemistry, Genetics and Molecular Biology 18 20%
Immunology and Microbiology 6 7%
Computer Science 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 7 8%
Unknown 24 26%
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 25 September 2014.
All research outputs
#18,379,018
of 22,764,165 outputs
Outputs from Viruses
#6,500
of 8,314 outputs
Outputs of similar age
#179,735
of 251,975 outputs
Outputs of similar age from Viruses
#40
of 53 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,314 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one is in the 10th percentile – i.e., 10% 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 251,975 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 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.