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Rfam: updates to the RNA families database

Overview of attention for article published in Nucleic Acids Research, October 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 (90th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
patent
1 patent
wikipedia
4 Wikipedia pages

Readers on

mendeley
386 Mendeley
citeulike
13 CiteULike
connotea
1 Connotea
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Article details
Title
Rfam: updates to the RNA families database
Published in
Nucleic Acids Research, October 2008
DOI 10.1093/nar/gkn766
Pubmed ID
Authors
Abstract

Rfam is a collection of RNA sequence families, represented by multiple sequence alignments and covariance models (CMs). The primary aim of Rfam is to annotate new members of known RNA families on nucleotide sequences, particularly complete genomes, using sensitive BLAST filters in combination with CMs. A minority of families with a very broad taxonomic range (e.g. tRNA and rRNA) provide the majority of the sequence annotations, whilst the majority of Rfam families (e.g. snoRNAs and miRNAs) have a limited taxonomic range and provide a limited number of annotations. Recent improvements to the website, methodologies and data used by Rfam are discussed. Rfam is freely available on the Web at http://rfam.sanger.ac.uk/and http://rfam.janelia.org/.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 386 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 6 2%
United Kingdom 5 1%
Sweden 3 <1%
France 3 <1%
Brazil 2 <1%
New Zealand 2 <1%
Norway 2 <1%
Chile 2 <1%
Italy 2 <1%
Other 11 3%
Unknown 348 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 91 24%
Student > Ph. D. Student 89 23%
Student > Master 44 11%
Student > Bachelor 26 7%
Student > Doctoral Student 18 5%
Other 64 17%
Unknown 54 14%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 201 52%
Biochemistry, Genetics and Molecular Biology 61 16%
Computer Science 23 6%
Medicine and Dentistry 7 2%
Environmental Science 6 2%
Other 24 6%
Unknown 64 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 24 November 2023.
All research outputs
#3,144,701
of 31,591,940 outputs
Outputs from Nucleic Acids Research
#3,771
of 32,087 outputs
Outputs of similar age
#9,969
of 132,696 outputs
Outputs of similar age from Nucleic Acids Research
#21
of 228 outputs
Altmetric has tracked 31,591,940 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 32,087 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 88% 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 132,696 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 228 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 90% of its contemporaries.