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Attention Score in Context
Chapter title |
Genome-Wide Profiling of Alternative Translation Initiation Sites.
|
---|---|
Chapter number | 19 |
Book title |
Post-Transcriptional Gene Regulation
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3067-8_19 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3066-1, 978-1-4939-3067-8
|
Authors |
Gao, Xiangwei, Wan, Ji, Qian, Shu-Bing, Xiangwei Gao, Ji Wan, Shu-Bing Qian |
Editors |
Erik Dassi |
Abstract |
Regulation of translation initiation is a central control point in protein synthesis. Variations of start codon selection contribute to protein diversity and complexity. Systemic mapping of start codon positions and precise measurement of the corresponding initiation rate would transform our understanding of translational control. Here we describe a ribosome profiling approach that enables identification of translation initiation sites on a genome-wide scale. By capturing initiating ribosomes using lactimidomycin, this approach permits qualitative and quantitative analysis of alternative translation initiation. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Egypt | 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 1 | 6% |
Canada | 1 | 6% |
Unknown | 16 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 56% |
Researcher | 4 | 22% |
Student > Bachelor | 1 | 6% |
Professor > Associate Professor | 1 | 6% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 10 | 56% |
Biochemistry, Genetics and Molecular Biology | 3 | 17% |
Neuroscience | 2 | 11% |
Unknown | 3 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 16 October 2015.
All research outputs
#14,239,950
of 22,830,751 outputs
Outputs from Methods in molecular biology
#4,191
of 13,126 outputs
Outputs of similar age
#205,975
of 393,540 outputs
Outputs of similar age from Methods in molecular biology
#417
of 1,470 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,126 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 64% of its peers.
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 393,540 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,470 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 68% of its contemporaries.