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Attention Score in Context
Chapter title |
An Integrated Polysome Profiling and Ribosome Profiling Method to Investigate In Vivo Translatome
|
---|---|
Chapter number | 1 |
Book title |
Next Generation Sequencing
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7514-3_1 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7512-9, 978-1-4939-7514-3
|
Authors |
Hyun Yong Jin, Changchun Xiao |
Abstract |
Recent advances in global translatome analysis technologies enable us to understand how translational regulation of gene expression modulates cellular functions. In this chapter, we present an integrated method to measure various aspects of translatome by polysome profiling and ribosome profiling using purified B cells. We standardized our protocols to directly compare the results from these two approaches. Parallel assessment of translatome with these two approaches can generate a comprehensive picture on how translational regulation determines protein output. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 90 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 24 | 27% |
Student > Master | 13 | 14% |
Researcher | 7 | 8% |
Student > Bachelor | 5 | 6% |
Student > Postgraduate | 5 | 6% |
Other | 7 | 8% |
Unknown | 29 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 34 | 38% |
Agricultural and Biological Sciences | 13 | 14% |
Immunology and Microbiology | 5 | 6% |
Engineering | 2 | 2% |
Medicine and Dentistry | 2 | 2% |
Other | 5 | 6% |
Unknown | 29 | 32% |
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 11 December 2017.
All research outputs
#13,575,211
of 23,011,300 outputs
Outputs from Methods in molecular biology
#3,654
of 13,157 outputs
Outputs of similar age
#220,015
of 442,319 outputs
Outputs of similar age from Methods in molecular biology
#351
of 1,498 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,157 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 70% 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 442,319 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 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 74% of its contemporaries.