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Mendeley readers
Attention Score in Context
| Chapter title |
High-Throughput Proteomic Analysis of Fresh-Frozen Biopsy Tissue Samples Using Pressure Cycling Technology Coupled with SWATH Mass Spectrometry
|
|---|---|
| Chapter number | 87 |
| Book title |
Tissue Proteomics
|
| Published in |
Methods in molecular biology, October 2017
|
| DOI | 10.1007/7651_2017_87 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7852-6, 978-1-4939-7854-0
|
| Authors |
Yi Zhu, Tiannan Guo, Zhu, Yi, Guo, Tiannan |
| Abstract |
In the era of precision medicine, there is an increasing need to measure several thousand proteins expressed in minimal amount of fresh-frozen biopsy tissue samples from clinical cohorts. Here we present the detailed protocol for high-throughput proteomic analysis of less than 1 mg fresh-frozen tissue sample using pressure cycling technology (PCT), SWATH mass spectrometry, and OpenSWATH workflow. The PCT procedures enable simultaneous analysis of 16 biopsy tissue samples per batch, followed by SWATH analysis of about 15 samples per mass spectrometer per working day. The thus generated SWATH maps can be perpetually analyzed in silico, offering a practical solution for digital biobanking. |
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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 14% |
| Lecturer > Senior Lecturer | 1 | 14% |
| Other | 1 | 14% |
| Student > Doctoral Student | 1 | 14% |
| Professor | 1 | 14% |
| Other | 1 | 14% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 57% |
| Unspecified | 1 | 14% |
| Medicine and Dentistry | 1 | 14% |
| Unknown | 1 | 14% |
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 07 November 2017.
All research outputs
#20,453,782
of 23,009,818 outputs
Outputs from Methods in molecular biology
#9,941
of 13,157 outputs
Outputs of similar age
#285,705
of 327,824 outputs
Outputs of similar age from Methods in molecular biology
#28
of 34 outputs
Altmetric has tracked 23,009,818 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 13,157 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.
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We're also able to compare this research output to 34 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.