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De Novo Transcriptome Sequence Assembly and Analysis of RNA Silencing Genes of Nicotiana benthamiana

Overview of attention for article published in PLOS ONE, March 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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7 X users
patent
2 patents

Citations

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155 Dimensions

Readers on

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235 Mendeley
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Title
De Novo Transcriptome Sequence Assembly and Analysis of RNA Silencing Genes of Nicotiana benthamiana
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0059534
Pubmed ID
Authors

Kenlee Nakasugi, Ross N. Crowhurst, Julia Bally, Craig C. Wood, Roger P. Hellens, Peter M. Waterhouse

Abstract

Nicotiana benthamiana has been widely used for transient gene expression assays and as a model plant in the study of plant-microbe interactions, lipid engineering and RNA silencing pathways. Assembling the sequence of its transcriptome provides information that, in conjunction with the genome sequence, will facilitate gaining insight into the plant's capacity for high-level transient transgene expression, generation of mobile gene silencing signals, and hyper-susceptibility to viral infection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 235 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 <1%
France 2 <1%
Germany 2 <1%
Brazil 2 <1%
United Kingdom 2 <1%
Australia 1 <1%
Colombia 1 <1%
Hungary 1 <1%
India 1 <1%
Other 6 3%
Unknown 215 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 29%
Researcher 57 24%
Student > Master 25 11%
Student > Bachelor 14 6%
Student > Postgraduate 11 5%
Other 30 13%
Unknown 31 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 154 66%
Biochemistry, Genetics and Molecular Biology 32 14%
Computer Science 5 2%
Immunology and Microbiology 2 <1%
Environmental Science 2 <1%
Other 9 4%
Unknown 31 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 19 March 2024.
All research outputs
#5,311,243
of 25,734,859 outputs
Outputs from PLOS ONE
#88,057
of 224,190 outputs
Outputs of similar age
#42,511
of 211,204 outputs
Outputs of similar age from PLOS ONE
#1,297
of 5,349 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,190 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has gotten more attention than average, scoring higher than 60% 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 211,204 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 79% of its contemporaries.
We're also able to compare this research output to 5,349 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.