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Differential protein occupancy profiling of the mRNA transcriptome

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 (78th percentile)

Mentioned by

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7 X users
googleplus
2 Google+ users

Citations

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72 Dimensions

Readers on

mendeley
148 Mendeley
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2 CiteULike
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Title
Differential protein occupancy profiling of the mRNA transcriptome
Published in
Genome Biology, January 2014
DOI 10.1186/gb-2014-15-1-r15
Pubmed ID
Authors

Markus Schueler, Mathias Munschauer, Lea Haarup Gregersen, Ana Finzel, Alexander Loewer, Wei Chen, Markus Landthaler, Christoph Dieterich

Abstract

RNA-binding proteins (RBPs) mediate mRNA biogenesis, translation and decay. We recently developed an approach to profile transcriptome-wide RBP contacts on polyadenylated transcripts by next-generation sequencing. A comparison of such profiles from different biological conditions has the power to unravel dynamic changes in protein-contacted cis-regulatory mRNA regions without a priori knowledge of the regulatory protein component.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Germany 1 <1%
Switzerland 1 <1%
Italy 1 <1%
France 1 <1%
China 1 <1%
United Kingdom 1 <1%
Unknown 137 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 34%
Researcher 35 24%
Student > Master 17 11%
Professor 9 6%
Student > Bachelor 6 4%
Other 20 14%
Unknown 11 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 45%
Biochemistry, Genetics and Molecular Biology 43 29%
Computer Science 11 7%
Medicine and Dentistry 8 5%
Engineering 2 1%
Other 4 3%
Unknown 13 9%
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 01 February 2014.
All research outputs
#6,238,302
of 25,373,627 outputs
Outputs from Genome Biology
#3,008
of 4,467 outputs
Outputs of similar age
#66,965
of 320,211 outputs
Outputs of similar age from Genome Biology
#85
of 117 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 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 320,211 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 78% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.