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Attention Score in Context
Chapter title |
Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC) for Quantitative Proteomics.
|
---|---|
Chapter number | 5 |
Book title |
Advancements of Mass Spectrometry in Biomedical Research
|
Published in |
Advances in experimental medicine and biology, June 2014
|
DOI | 10.1007/978-3-319-06068-2_5 |
Pubmed ID | |
Book ISBNs |
978-3-31-906067-5, 978-3-31-906068-2
|
Authors |
Hoedt E, Zhang G, Neubert TA, Esthelle Hoedt, Guoan Zhang, Thomas A. Neubert |
Abstract |
Stable isotope labeling by amino acids in cell culture (SILAC) is a powerful approach for high-throughput quantitative proteomics. SILAC allows highly accurate protein quantitation through metabolic encoding of whole cell proteomes using stable isotope labeled amino acids. Since its introduction in 2002, SILAC has become increasingly popular. In this chapter we review the methodology and application of SILAC, with an emphasis on three research areas: dynamics of posttranslational modifications, protein-protein interactions, and protein turnover. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 4% |
Canada | 1 | 2% |
Unknown | 51 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 19% |
Researcher | 10 | 19% |
Student > Master | 9 | 17% |
Student > Postgraduate | 4 | 7% |
Professor > Associate Professor | 4 | 7% |
Other | 8 | 15% |
Unknown | 9 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 16 | 30% |
Agricultural and Biological Sciences | 10 | 19% |
Medicine and Dentistry | 5 | 9% |
Chemistry | 4 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Other | 6 | 11% |
Unknown | 11 | 20% |
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 02 October 2014.
All research outputs
#18,379,655
of 22,765,347 outputs
Outputs from Advances in experimental medicine and biology
#3,304
of 4,928 outputs
Outputs of similar age
#163,992
of 228,095 outputs
Outputs of similar age from Advances in experimental medicine and biology
#29
of 42 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,928 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 19th percentile – i.e., 19% 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 228,095 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.