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GraphProt: modeling binding preferences of RNA-binding proteins

Overview of attention for article published in Genome Biology, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)

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10 X users
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1 Google+ user

Citations

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244 Dimensions

Readers on

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230 Mendeley
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3 CiteULike
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Title
GraphProt: modeling binding preferences of RNA-binding proteins
Published in
Genome Biology, January 2014
DOI 10.1186/gb-2014-15-1-r17
Pubmed ID
Authors

Daniel Maticzka, Sita J Lange, Fabrizio Costa, Rolf Backofen

Abstract

We present GraphProt, a computational framework for learning sequence- and structure-binding preferences of RNA-binding proteins (RBPs) from high-throughput experimental data. We benchmark GraphProt, demonstrating that the modeled binding preferences conform to the literature, and showcase the biological relevance and two applications of GraphProt models. First, estimated binding affinities correlate with experimental measurements. Second, predicted Ago2 targets display higher levels of expression upon Ago2 knockdown, whereas control targets do not. Computational binding models, such as those provided by GraphProt, are essential to predict RBP-binding sites and affinities in all tissues. GraphProt is freely available at http://www.bioinf.uni-freiburg.de/Software/GraphProt.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users 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 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Germany 3 1%
Italy 1 <1%
Sweden 1 <1%
France 1 <1%
Denmark 1 <1%
Canada 1 <1%
Spain 1 <1%
China 1 <1%
Other 0 0%
Unknown 215 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 31%
Researcher 46 20%
Student > Master 34 15%
Student > Bachelor 14 6%
Student > Postgraduate 11 5%
Other 28 12%
Unknown 25 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 75 33%
Biochemistry, Genetics and Molecular Biology 61 27%
Computer Science 37 16%
Medicine and Dentistry 7 3%
Engineering 5 2%
Other 13 6%
Unknown 32 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 08 March 2017.
All research outputs
#5,446,994
of 25,374,647 outputs
Outputs from Genome Biology
#2,944
of 4,467 outputs
Outputs of similar age
#61,154
of 320,910 outputs
Outputs of similar age from Genome Biology
#92
of 123 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 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 320,910 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 79% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.