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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Proteomic Analysis of Urinary Exosomes in Cardiovascular and Associated Kidney Diseases by Two-Dimensional Electrophoresis and LC–MS/MS
|
|---|---|
| Chapter number | 16 |
| Book title |
Vascular Proteomics
|
| Published in |
Methods in molecular biology, January 2013
|
| DOI | 10.1007/978-1-62703-405-0_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-404-3, 978-1-62703-405-0
|
| Authors |
Irene Zubiri, Fernando Vivanco, Gloria Alvarez-Llamas, Zubiri, Irene, Vivanco, Fernando, Alvarez-Llamas, Gloria |
| Abstract |
Urinary exosomes are membranous vesicles 40-100 nm in size containing proteins that are characteristic of every renal tubule epithelial cell type. In this chapter, we describe a methodology to isolate and analyze urinary exosomes proteome by 2-DE and LC-MS/MS, in the search for biomarkers of vascular and associated kidney diseases. We describe an isolation methodology by serial (ultra)centrifugation steps compatible with 2-DE and LC-MS/MS analysis. Exosome purity is confirmed by electron microscopy and Western blot. |
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 % |
|---|---|---|
| United States | 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 28% |
| Student > Doctoral Student | 3 | 10% |
| Researcher | 3 | 10% |
| Other | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Other | 6 | 21% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 28% |
| Agricultural and Biological Sciences | 6 | 21% |
| Biochemistry, Genetics and Molecular Biology | 5 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 6 | 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 15 December 2013.
All research outputs
#18,357,514
of 22,736,112 outputs
Outputs from Methods in molecular biology
#7,854
of 13,086 outputs
Outputs of similar age
#218,092
of 280,808 outputs
Outputs of similar age from Methods in molecular biology
#220
of 341 outputs
Altmetric has tracked 22,736,112 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 13,086 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% 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 280,808 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 341 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.