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RetrOryza: a database of the rice LTR-retrotransposons

Overview of attention for article published in Nucleic Acids Research, October 2006
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Title
RetrOryza: a database of the rice LTR-retrotransposons
Published in
Nucleic Acids Research, October 2006
DOI 10.1093/nar/gkl780
Pubmed ID
Authors

Cristian Chaparro, Romain Guyot, Andrea Zuccolo, Benoît Piégu, Olivier Panaud

Abstract

Long terminal repeat (LTR)-retrotransposons comprise a significant portion of the rice genome. Their complete characterization is thus necessary if the sequenced genome is to be annotated correctly. In addition, because LTR-retrotransposons can influence the expression of neighboring genes, the complete identification of these elements in the rice genome is essential in order to study their putative functional interactions with the plant genes. The aims of the database are to (i) Assemble a comprehensive dataset of LTR-retrotransposons that includes not only abundant elements, but also low copy number elements. (ii) Provide an interface to efficiently access the resources stored in the database. This interface should also allow the community to annotate these elements. (iii) Provide a means for identifying LTR-retrotransposons inserted near genes. Here we present the results, where 242 complete LTR-retrotransposons have been structurally and functionally annotated. A web interface to the database has been made available (http://www.retroryza.org/), through which the user can annotate a sequence or search for LTR-retrotransposons in the neighborhood of a gene of interest.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 5 6%
United Kingdom 4 5%
Brazil 2 3%
United States 2 3%
China 2 3%
Argentina 1 1%
Germany 1 1%
New Zealand 1 1%
Denmark 1 1%
Other 0 0%
Unknown 58 75%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 42%
Student > Ph. D. Student 11 14%
Professor 6 8%
Student > Master 6 8%
Professor > Associate Professor 5 6%
Other 11 14%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 58%
Computer Science 14 18%
Biochemistry, Genetics and Molecular Biology 5 6%
Mathematics 2 3%
Engineering 2 3%
Other 1 1%
Unknown 8 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 January 2011.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from Nucleic Acids Research
#13,660
of 27,550 outputs
Outputs of similar age
#30,314
of 87,028 outputs
Outputs of similar age from Nucleic Acids Research
#83
of 201 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 27,550 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 24th percentile – i.e., 24% 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 87,028 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.