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RNAcentral: A vision for an international database of RNA sequences

Overview of attention for article published in RNA, September 2011
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
19 X users

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
145 Mendeley
citeulike
12 CiteULike
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Title
RNAcentral: A vision for an international database of RNA sequences
Published in
RNA, September 2011
DOI 10.1261/rna.2750811
Pubmed ID
Authors

Alex Bateman, Shipra Agrawal, Ewan Birney, Elspeth A. Bruford, Janusz M. Bujnicki, Guy Cochrane, James R. Cole, Marcel E. Dinger, Anton J. Enright, Paul P. Gardner, Daniel Gautheret, Sam Griffiths-Jones, Jen Harrow, Javier Herrero, Ian H. Holmes, Hsien-Da Huang, Krystyna A. Kelly, Paul Kersey, Ana Kozomara, Todd M. Lowe, Manja Marz, Simon Moxon, Kim D. Pruitt, Tore Samuelsson, Peter F. Stadler, Albert J. Vilella, Jan-Hinnerk Vogel, Kelly P. Williams, Mathew W. Wright, Christian Zwieb

Abstract

During the last decade there has been a great increase in the number of noncoding RNA genes identified, including new classes such as microRNAs and piRNAs. There is also a large growth in the amount of experimental characterization of these RNA components. Despite this growth in information, it is still difficult for researchers to access RNA data, because key data resources for noncoding RNAs have not yet been created. The most pressing omission is the lack of a comprehensive RNA sequence database, much like UniProt, which provides a comprehensive set of protein knowledge. In this article we propose the creation of a new open public resource that we term RNAcentral, which will contain a comprehensive collection of RNA sequences and fill an important gap in the provision of biomedical databases. We envision RNA researchers from all over the world joining a federated RNAcentral network, contributing specialized knowledge and databases. RNAcentral would centralize key data that are currently held across a variety of databases, allowing researchers instant access to a single, unified resource. This resource would facilitate the next generation of RNA research and help drive further discoveries, including those that improve food production and human and animal health. We encourage additional RNA database resources and research groups to join this effort. We aim to obtain international network funding to further this endeavor.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 3%
Germany 4 3%
Canada 2 1%
France 2 1%
Sweden 2 1%
Denmark 2 1%
United States 2 1%
New Zealand 1 <1%
Italy 1 <1%
Other 2 1%
Unknown 122 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 28%
Student > Ph. D. Student 25 17%
Student > Master 22 15%
Professor > Associate Professor 12 8%
Professor 11 8%
Other 22 15%
Unknown 12 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 76 52%
Biochemistry, Genetics and Molecular Biology 33 23%
Computer Science 8 6%
Medicine and Dentistry 7 5%
Mathematics 2 1%
Other 7 5%
Unknown 12 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 12 September 2014.
All research outputs
#1,576,653
of 23,504,791 outputs
Outputs from RNA
#88
of 3,065 outputs
Outputs of similar age
#7,432
of 132,098 outputs
Outputs of similar age from RNA
#2
of 29 outputs
Altmetric has tracked 23,504,791 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,065 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done particularly well, scoring higher than 97% 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 132,098 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 94% of its contemporaries.
We're also able to compare this research output to 29 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 96% of its contemporaries.