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Characterization of Unique Small RNA Populations from Rice Grain

Overview of attention for article published in PLOS ONE, August 2008
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
patent
2 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
86 Mendeley
citeulike
1 CiteULike
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Title
Characterization of Unique Small RNA Populations from Rice Grain
Published in
PLOS ONE, August 2008
DOI 10.1371/journal.pone.0002871
Pubmed ID
Authors

Sara E. Heisel, Yuanji Zhang, Edwards Allen, Liang Guo, Tracey L. Reynolds, Xiao Yang, David Kovalic, James K. Roberts

Abstract

Small RNAs (approximately 20 to 24 nucleotides) function as naturally occurring molecules critical in developmental pathways in plants and animals. Here we analyze small RNA populations from mature rice grain and seedlings by pyrosequencing. Using a clustering algorithm to locate regions producing small RNAs, we classified hotspots of small RNA generation within the genome. Hotspots here are defined as 1 kb regions within which small RNAs are significantly overproduced relative to the rest of the genome. Hotspots were identified to facilitate characterization of different categories of small RNA regulatory elements. Included in the hotspots, we found known members of 23 miRNA families representing 92 genes, one trans acting siRNA (ta-siRNA) gene, novel siRNA-generating coding genes and phased siRNA generating genes. Interestingly, over 20% of the small RNA population in grain came from a single foldback structure, which generated eight phased 21-nt siRNAs. This is reminiscent of a newly arising miRNA derived from duplication of progenitor genes. Our results provide data identifying distinct populations of small RNAs, including phased small RNAs, in mature grain to facilitate characterization of small regulatory RNA expression in monocot species.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
France 2 2%
Brazil 2 2%
Italy 1 1%
India 1 1%
Bangladesh 1 1%
Unknown 75 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 38%
Student > Ph. D. Student 23 27%
Student > Postgraduate 5 6%
Professor > Associate Professor 5 6%
Student > Bachelor 4 5%
Other 10 12%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 71%
Biochemistry, Genetics and Molecular Biology 12 14%
Computer Science 5 6%
Unspecified 1 1%
Medicine and Dentistry 1 1%
Other 0 0%
Unknown 6 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 28 May 2019.
All research outputs
#2,127,154
of 22,789,076 outputs
Outputs from PLOS ONE
#27,117
of 194,533 outputs
Outputs of similar age
#5,938
of 82,509 outputs
Outputs of similar age from PLOS ONE
#86
of 446 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,533 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done well, scoring higher than 86% 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 82,509 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 446 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.