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Mendeley readers
Attention Score in Context
Chapter title |
Filter-Based Extracellular Vesicle mRNA Isolation and High-Throughput Gene Expression Analysis
|
---|---|
Chapter number | 6 |
Book title |
Extracellular Vesicles
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-7253-1_6 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7251-7, 978-1-4939-7253-1
|
Authors |
Cindy M. Yamamoto, Taku Murakami, Shu-Wing Ng |
Abstract |
Extracellular vesicles (EVs) are a heterogeneous group of membrane-encapsulated particles with different ranges of size, density, and cargo. Various types of RNA including mRNA are enclosed within EVs and can serve as novel biomarkers for disease detection and patient management. Ultracentrifugation, precipitation , antibody-based capture and filter-based methods are available as in-house laboratory procedures or commercially available kits to isolate EVs. Here, we describe a filter-based method for EV mRNA isolation that is designed for parallel processing of large sample numbers. |
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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 31% |
Researcher | 2 | 15% |
Other | 1 | 8% |
Professor | 1 | 8% |
Lecturer | 1 | 8% |
Other | 2 | 15% |
Unknown | 2 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 31% |
Biochemistry, Genetics and Molecular Biology | 3 | 23% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
Agricultural and Biological Sciences | 1 | 8% |
Engineering | 1 | 8% |
Other | 0 | 0% |
Unknown | 3 | 23% |
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 13 September 2017.
All research outputs
#20,365,559
of 22,914,829 outputs
Outputs from Methods in molecular biology
#9,921
of 13,131 outputs
Outputs of similar age
#355,358
of 420,479 outputs
Outputs of similar age from Methods in molecular biology
#844
of 1,074 outputs
Altmetric has tracked 22,914,829 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 420,479 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 1,074 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.