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Artificial microRNA mediated gene silencing in plants: progress and perspectives

Overview of attention for article published in Plant Molecular Biology, July 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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1 X user
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3 patents

Citations

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114 Dimensions

Readers on

mendeley
249 Mendeley
Title
Artificial microRNA mediated gene silencing in plants: progress and perspectives
Published in
Plant Molecular Biology, July 2014
DOI 10.1007/s11103-014-0224-7
Pubmed ID
Authors

Manish Tiwari, Deepika Sharma, Prabodh Kumar Trivedi

Abstract

Homology based gene silencing has emerged as a convenient approach for repressing expression of genes in order to study their functions. For this purpose, several antisense or small interfering RNA based gene silencing techniques have been frequently employed in plant research. Artificial microRNAs (amiRNAs) mediated gene silencing represents one of such techniques which can utilize as a potential tool in functional genomics. Similar to microRNAs, amiRNAs are single-stranded, approximately 21 nt long, and designed by replacing the mature miRNA sequences of duplex within pre-miRNAs. These amiRNAs are processed via small RNA biogenesis and silencing machinery and deregulate target expression. Holding to various refinements, amiRNA technology offers several advantages over other gene silencing methods. This is a powerful and robust tool, and could be applied to unravel new insight of metabolic pathways and gene functions across the various disciplines as well as in translating observations for improving favourable traits in plants. This review highlights general background of small RNAs, improvements made in RNAi based gene silencing, implications of amiRNA in gene silencing, and describes future themes for improving value of this technology in plant science.

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 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 1%
Turkey 1 <1%
India 1 <1%
Argentina 1 <1%
Belgium 1 <1%
Japan 1 <1%
United States 1 <1%
Philippines 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 238 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 20%
Researcher 43 17%
Student > Master 34 14%
Student > Bachelor 34 14%
Student > Doctoral Student 16 6%
Other 30 12%
Unknown 43 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 119 48%
Biochemistry, Genetics and Molecular Biology 54 22%
Computer Science 3 1%
Chemistry 2 <1%
Immunology and Microbiology 2 <1%
Other 12 5%
Unknown 57 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 30 August 2023.
All research outputs
#3,433,644
of 24,413,320 outputs
Outputs from Plant Molecular Biology
#128
of 2,884 outputs
Outputs of similar age
#33,258
of 231,595 outputs
Outputs of similar age from Plant Molecular Biology
#1
of 20 outputs
Altmetric has tracked 24,413,320 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,884 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 95% 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 231,595 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.