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Biocomputational prediction of small non-coding RNAs in Streptomyces

Overview of attention for article published in BMC Genomics, May 2008
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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mendeley
57 Mendeley
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2 CiteULike
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Title
Biocomputational prediction of small non-coding RNAs in Streptomyces
Published in
BMC Genomics, May 2008
DOI 10.1186/1471-2164-9-217
Pubmed ID
Authors

Josef Pánek, Jan Bobek, Karel Mikulík, Marek Basler, Jiří Vohradský

Abstract

The first systematic study of small non-coding RNAs (sRNA, ncRNA) in Streptomyces is presented. Except for a few exceptions, the Streptomyces sRNAs, as well as the sRNAs in other genera of the Actinomyces group, have remained unstudied. This study was based on sequence conservation in intergenic regions of Streptomyces, localization of transcription termination factors, and genomic arrangement of genes flanking the predicted sRNAs.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
New Zealand 1 2%
United States 1 2%
Unknown 54 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 26%
Student > Master 10 18%
Researcher 9 16%
Professor 6 11%
Professor > Associate Professor 4 7%
Other 8 14%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 46%
Biochemistry, Genetics and Molecular Biology 12 21%
Immunology and Microbiology 3 5%
Computer Science 3 5%
Environmental Science 1 2%
Other 4 7%
Unknown 8 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 September 2010.
All research outputs
#7,356,343
of 25,374,647 outputs
Outputs from BMC Genomics
#3,109
of 11,244 outputs
Outputs of similar age
#27,303
of 86,315 outputs
Outputs of similar age from BMC Genomics
#15
of 55 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 70% 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 86,315 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.