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The RNA-binding landscapes of two SR proteins reveal unique functions and binding to diverse RNA classes

Overview of attention for article published in Genome Biology, March 2012
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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 (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
233 Dimensions

Readers on

mendeley
253 Mendeley
citeulike
4 CiteULike
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Title
The RNA-binding landscapes of two SR proteins reveal unique functions and binding to diverse RNA classes
Published in
Genome Biology, March 2012
DOI 10.1186/gb-2012-13-3-r17
Pubmed ID
Authors

Minna-Liisa Änkö, Michaela Müller-McNicoll, Holger Brandl, Tomaz Curk, Crtomir Gorup, Ian Henry, Jernej Ule, Karla M Neugebauer

Abstract

The SR proteins comprise a family of essential, structurally related RNA binding proteins. The complexity of their RNA targets and specificity of RNA recognition in vivo is not well understood. Here we use iCLIP to globally analyze and compare the RNA binding properties of two SR proteins, SRSF3 and SRSF4, in murine cells.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 253 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 1%
United States 3 1%
United Kingdom 2 <1%
Czechia 1 <1%
Hungary 1 <1%
China 1 <1%
France 1 <1%
Unknown 241 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 29%
Researcher 49 19%
Student > Master 28 11%
Student > Doctoral Student 15 6%
Student > Bachelor 12 5%
Other 34 13%
Unknown 42 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 96 38%
Biochemistry, Genetics and Molecular Biology 72 28%
Medicine and Dentistry 10 4%
Computer Science 8 3%
Immunology and Microbiology 6 2%
Other 12 5%
Unknown 49 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 15 October 2013.
All research outputs
#3,608,341
of 25,373,627 outputs
Outputs from Genome Biology
#2,492
of 4,467 outputs
Outputs of similar age
#22,315
of 172,678 outputs
Outputs of similar age from Genome Biology
#22
of 41 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 85th 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 44th percentile – i.e., 44% 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 172,678 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 87% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.