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Global target mRNA specification and regulation by the RNA-binding protein ZFP36

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

  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

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4 X users
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1 patent

Citations

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139 Dimensions

Readers on

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149 Mendeley
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1 CiteULike
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Title
Global target mRNA specification and regulation by the RNA-binding protein ZFP36
Published in
Genome Biology, January 2014
DOI 10.1186/gb-2014-15-1-r12
Pubmed ID
Authors

Neelanjan Mukherjee, Nicholas C Jacobs, Markus Hafner, Elizabeth A Kennington, Jeffrey D Nusbaum, Thomas Tuschl, Perry J Blackshear, Uwe Ohler

Abstract

ZFP36, also known as tristetraprolin or TTP, and ELAVL1, also known as HuR, are two disease-relevant RNA-binding proteins (RBPs) that both interact with AU-rich sequences but have antagonistic roles. While ELAVL1 binding has been profiled in several studies, the precise in vivo binding specificity of ZFP36 has not been investigated on a global scale. We determined ZFP36 binding preferences using cross-linking and immunoprecipitation in human embryonic kidney cells, and examined the combinatorial regulation of AU-rich elements by ZFP36 and ELAVL1.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 2 1%
United States 2 1%
United Kingdom 2 1%
Sweden 1 <1%
Germany 1 <1%
Czechia 1 <1%
Unknown 140 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 33%
Researcher 26 17%
Student > Bachelor 13 9%
Student > Master 13 9%
Professor 8 5%
Other 18 12%
Unknown 22 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 49 33%
Agricultural and Biological Sciences 48 32%
Immunology and Microbiology 8 5%
Computer Science 4 3%
Neuroscience 4 3%
Other 13 9%
Unknown 23 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 10 March 2016.
All research outputs
#6,875,065
of 25,373,627 outputs
Outputs from Genome Biology
#3,184
of 4,467 outputs
Outputs of similar age
#74,414
of 318,732 outputs
Outputs of similar age from Genome Biology
#90
of 115 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
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 28th percentile – i.e., 28% 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 318,732 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 76% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.