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Artificial microRNA-mediated resistance against the monopartite begomovirus Cotton leaf curl Burewala virus

Overview of attention for article published in Virology Journal, July 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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1 X user
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1 patent
facebook
1 Facebook page

Citations

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80 Dimensions

Readers on

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67 Mendeley
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Title
Artificial microRNA-mediated resistance against the monopartite begomovirus Cotton leaf curl Burewala virus
Published in
Virology Journal, July 2013
DOI 10.1186/1743-422x-10-231
Pubmed ID
Authors

Irfan Ali, Imran Amin, Rob W Briddon, Shahid Mansoor

Abstract

Cotton leaf curl disease, caused by single-stranded DNA viruses of the genus Begomovirus (family Geminiviridae), is a major constraint to cotton cultivation across Pakistan and north-western India. At this time only cotton varieties with moderate tolerance are available to counter the disease. microRNAs (miRNAs) are a class of endogenous small RNA molecules that play an important role in plant development, signal transduction, and response to biotic and a biotic stress. Studies have shown that miRNAs can be engineered to alter their target specificity. Such artificial miRNAs (amiRNAs) have been shown to provide resistance against plant-infecting viruses.

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

Geographical breakdown

Country Count As %
India 1 1%
Unknown 66 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 28%
Researcher 11 16%
Student > Master 8 12%
Student > Bachelor 6 9%
Student > Doctoral Student 3 4%
Other 9 13%
Unknown 11 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 52%
Biochemistry, Genetics and Molecular Biology 9 13%
Immunology and Microbiology 2 3%
Medicine and Dentistry 2 3%
Environmental Science 1 1%
Other 5 7%
Unknown 13 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 10 September 2020.
All research outputs
#6,926,903
of 22,714,025 outputs
Outputs from Virology Journal
#772
of 3,035 outputs
Outputs of similar age
#59,028
of 194,569 outputs
Outputs of similar age from Virology Journal
#26
of 87 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 3,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one has gotten more attention than average, scoring higher than 72% 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 194,569 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.