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Attention Score in Context
Chapter title |
Quantitative Analysis of Tissue Samples by Combining iTRAQ Isobaric Labeling with Selected/Multiple Reaction Monitoring (SRM/MRM).
|
---|---|
Chapter number | 6 |
Book title |
Phospho-Proteomics
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3049-4_6 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3048-7, 978-1-4939-3049-4
|
Authors |
Narumi, Ryohei, Tomonaga, Takeshi, Ryohei Narumi, Takeshi Tomonaga |
Editors |
Louise von Stechow |
Abstract |
Mass spectrometry-based phosphoproteomics is an indispensible technique used in the discovery and quantification of phosphorylation events on proteins in biological samples. The application of this technique to tissue samples is especially useful for the discovery of biomarkers as well as biological studies. We herein describe the application of a large-scale phosphoproteome analysis and SRM/MRM-based quantitation to develop a strategy for the systematic discovery and validation of biomarkers using tissue samples. |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
China | 1 | 7% |
France | 1 | 7% |
Unknown | 12 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 3 | 21% |
Researcher | 3 | 21% |
Student > Ph. D. Student | 2 | 14% |
Other | 2 | 14% |
Student > Master | 1 | 7% |
Other | 0 | 0% |
Unknown | 3 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 7 | 50% |
Agricultural and Biological Sciences | 2 | 14% |
Computer Science | 1 | 7% |
Chemistry | 1 | 7% |
Unknown | 3 | 21% |
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 21 November 2015.
All research outputs
#20,296,405
of 22,833,393 outputs
Outputs from Methods in molecular biology
#9,916
of 13,127 outputs
Outputs of similar age
#330,625
of 393,571 outputs
Outputs of similar age from Methods in molecular biology
#1,053
of 1,470 outputs
Altmetric has tracked 22,833,393 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 13,127 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 393,571 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 1,470 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.