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RNAdb 2.0—an expanded database of mammalian non-coding RNAs

Overview of attention for article published in Nucleic Acids Research, December 2006
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
peer_reviews
1 peer review site

Citations

dimensions_citation
146 Dimensions

Readers on

mendeley
137 Mendeley
citeulike
8 CiteULike
connotea
2 Connotea
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Title
RNAdb 2.0—an expanded database of mammalian non-coding RNAs
Published in
Nucleic Acids Research, December 2006
DOI 10.1093/nar/gkl926
Pubmed ID
Authors

Ken C. Pang, Stuart Stephen, Marcel E. Dinger, Pär G. Engström, Boris Lenhard, John S. Mattick

Abstract

RNAdb is a comprehensive database of mammalian non-protein-coding RNAs (ncRNAs). There is increasing recognition that ncRNAs play important regulatory roles in multicellular organisms, and there is an expanding rate of discovery of novel ncRNAs as well as an increasing allocation of function. In this update to RNAdb, we provide nucleotide sequences and annotations for tens of thousands of non-housekeeping ncRNAs, including a wide range of mammalian microRNAs, small nucleolar RNAs and larger mRNA-like ncRNAs. Some of these have documented functions and/or expression patterns, but the majority remain of unclear significance, and include PIWI-interacting RNAs, ncRNAs identified from the latest rounds of large-scale cDNA sequencing projects, putative antisense transcripts, as well as ncRNAs predicted on the basis of structural features and alignments. Improvements to the database comprise not only new and updated ncRNA datasets, but also provision of microarray-based expression data and closer interface with more specialized ncRNA resources such as miRBase and snoRNA-LBME-db. To access RNAdb, visit http://research.imb.uq.edu.au/RNAdb.

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

Geographical breakdown

Country Count As %
United Kingdom 4 3%
United States 4 3%
Sweden 2 1%
Germany 2 1%
France 2 1%
Brazil 1 <1%
Canada 1 <1%
Australia 1 <1%
Russia 1 <1%
Other 1 <1%
Unknown 118 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 34%
Student > Ph. D. Student 27 20%
Professor 10 7%
Student > Master 10 7%
Student > Bachelor 8 6%
Other 25 18%
Unknown 10 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 52%
Biochemistry, Genetics and Molecular Biology 21 15%
Medicine and Dentistry 8 6%
Computer Science 8 6%
Immunology and Microbiology 4 3%
Other 13 9%
Unknown 12 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 27 May 2014.
All research outputs
#4,082,166
of 25,374,647 outputs
Outputs from Nucleic Acids Research
#6,526
of 27,550 outputs
Outputs of similar age
#17,244
of 168,061 outputs
Outputs of similar age from Nucleic Acids Research
#31
of 173 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 76% 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 168,061 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 89% of its contemporaries.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.