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Attention Score in Context
Chapter title |
Online LC-FAIMS-MS/MS for the Analysis of Phosphorylation in Proteins.
|
---|---|
Chapter number | 16 |
Book title |
Phospho-Proteomics
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3049-4_16 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3048-7, 978-1-4939-3049-4
|
Authors |
Hongyan Zhao, Andrew J. Creese, Helen J. Cooper |
Editors |
Louise von Stechow |
Abstract |
High-field asymmetric waveform ion mobility spectrometry (FAIMS) is a gas-phase separation technique which, when coupled with liquid chromatography tandem mass spectrometry, offers benefits for analysis of complex proteomics samples such as those encountered in phosphoproteomics experiments. Results from LC-FAIMS-MS/MS are typically complementary, in terms of proteome coverage and isomer identification, to those obtained by use of solution-phase separation methods, such as prefractionation with strong cation-exchange chromatography. Here, we describe the protocol for large-scale phosphorylation analysis by LC-FAIMS-MS/MS. |
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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 6% |
Unknown | 16 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 24% |
Researcher | 3 | 18% |
Professor > Associate Professor | 2 | 12% |
Student > Bachelor | 1 | 6% |
Other | 1 | 6% |
Other | 1 | 6% |
Unknown | 5 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 24% |
Agricultural and Biological Sciences | 2 | 12% |
Unspecified | 1 | 6% |
Computer Science | 1 | 6% |
Physics and Astronomy | 1 | 6% |
Other | 1 | 6% |
Unknown | 7 | 41% |
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 30 August 2016.
All research outputs
#20,338,537
of 22,884,315 outputs
Outputs from Methods in molecular biology
#9,920
of 13,131 outputs
Outputs of similar age
#330,751
of 393,702 outputs
Outputs of similar age from Methods in molecular biology
#1,054
of 1,471 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 393,702 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.