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Attention Score in Context
Chapter title |
In Vivo Cross-Linking Followed by PolyA Enrichment to Identify Yeast mRNA Binding Proteins.
|
---|---|
Chapter number | 3 |
Book title |
RNA Remodeling Proteins
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Published in |
Methods in molecular biology, January 2015
|
DOI | 10.1007/978-1-4939-2214-7_3 |
Pubmed ID | |
Book ISBNs |
978-1-4939-2213-0, 978-1-4939-2214-7
|
Authors |
Mitchell SF, Parker R, Sarah F. Mitchell, Roy Parker |
Abstract |
mRNA binding proteins regulate gene expression by controlling the processing, localization, decay, and translation of messenger RNAs (mRNAs). To fully understand this process, it is necessary to identify the complete set of mRNA binding proteins. This work describes a method for the systematic identification of yeast mRNA binding proteins. This method applies in vivo UV cross-linking, affinity pull-down of polyA(+) mRNAs, and analysis by mass spectrometry to identify proteins that directly bind to mRNAs. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 50% |
United States | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 33% |
Professor > Associate Professor | 1 | 33% |
Researcher | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2 | 67% |
Biochemistry, Genetics and Molecular Biology | 1 | 33% |
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 13 January 2015.
All research outputs
#17,737,508
of 22,778,347 outputs
Outputs from Methods in molecular biology
#7,192
of 13,093 outputs
Outputs of similar age
#242,235
of 353,085 outputs
Outputs of similar age from Methods in molecular biology
#431
of 1,008 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,093 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 39th percentile – i.e., 39% 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 353,085 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,008 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.