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cWords - systematic microRNA regulatory motif discovery from mRNA expression data

Overview of attention for article published in Silence, May 2013
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Title
cWords - systematic microRNA regulatory motif discovery from mRNA expression data
Published in
Silence, May 2013
DOI 10.1186/1758-907x-4-2
Pubmed ID
Authors

Simon H Rasmussen, Anders Jacobsen, Anders Krogh

Abstract

Post-transcriptional regulation of gene expression by small RNAs and RNA binding proteins is of fundamental importance in development of complex organisms, and dysregulation of regulatory RNAs can influence onset, progression and potentially be target for treatment of many diseases. Post-transcriptional regulation by small RNAs is mediated through partial complementary binding to messenger RNAs leaving nucleotide signatures or motifs throughout the entire transcriptome. Computational methods for discovery and analysis of sequence motifs in high-throughput mRNA expression profiling experiments are becoming increasingly important tools for the identification of post-transcriptional regulatory motifs and the inference of the regulators and their targets.

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

Geographical breakdown

Country Count As %
United States 2 4%
Denmark 2 4%
China 1 2%
Unknown 42 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 28%
Researcher 12 26%
Student > Ph. D. Student 9 19%
Student > Bachelor 3 6%
Professor > Associate Professor 3 6%
Other 5 11%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 64%
Biochemistry, Genetics and Molecular Biology 7 15%
Medicine and Dentistry 2 4%
Computer Science 1 2%
Mathematics 1 2%
Other 2 4%
Unknown 4 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 May 2013.
All research outputs
#18,339,860
of 22,711,242 outputs
Outputs from Silence
#25
of 28 outputs
Outputs of similar age
#146,998
of 195,768 outputs
Outputs of similar age from Silence
#1
of 3 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 28 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one scored the same or higher as 3 of them.
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 195,768 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them