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Transterm: a database to aid the analysis of regulatory sequences in mRNAs

Overview of attention for article published in Nucleic Acids Research, November 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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
wikipedia
1 Wikipedia page

Readers on

mendeley
71 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Article details
Title
Transterm: a database to aid the analysis of regulatory sequences in mRNAs
Published in
Nucleic Acids Research, November 2008
DOI 10.1093/nar/gkn763
Pubmed ID
Authors
Abstract

Messenger RNAs, in addition to coding for proteins, may contain regulatory elements that affect how the protein is translated. These include protein and microRNA-binding sites. Transterm (http://mRNA.otago.ac.nz/Transterm.html) is a database of regions and elements that affect translation with two major unique components. The first is integrated results of analysis of general features that affect translation (initiation, elongation, termination) for species or strains in Genbank, processed through a standard pipeline. The second is curated descriptions of experimentally determined regulatory elements that function as translational control elements in mRNAs. Transterm focuses on protein binding sites, particularly those in 3'-untranslated regions (3'-UTR). For this release the interface has been extensively updated based on user feedback. The data is now accessible by strain rather than species, for example there are 10 Escherichia coli strains (genomes) analysed separately. In addition to providing a repository of data, the database also provides tools for users to query their own mRNA sequences. Users can search sequences for Transterm or user defined regulatory elements, including protein or miRNA targets. Transterm also provides a central core of links to related resources for complementary analyses.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 71 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 2 3%
Italy 1 1%
China 1 1%
Brazil 1 1%
Unknown 66 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 24 34%
Student > Ph. D. Student 15 21%
Professor > Associate Professor 9 13%
Student > Master 7 10%
Student > Bachelor 5 7%
Other 6 8%
Unknown 5 7%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 49 69%
Biochemistry, Genetics and Molecular Biology 4 6%
Immunology and Microbiology 4 6%
Environmental Science 3 4%
Computer Science 2 3%
Other 3 4%
Unknown 6 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 30 October 2012.
All research outputs
#4,889,707
of 28,841,988 outputs
Outputs from Nucleic Acids Research
#7,524
of 29,188 outputs
Outputs of similar age
#19,562
of 118,053 outputs
Outputs of similar age from Nucleic Acids Research
#45
of 211 outputs
Altmetric has tracked 28,841,988 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,188 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 73% 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 118,053 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 82% of its contemporaries.
We're also able to compare this research output to 211 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.