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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Paper-Based for Isolation of Extracellular Vesicles
|
---|---|
Chapter number | 5 |
Book title |
Extracellular Vesicles
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-7253-1_5 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7251-7, 978-1-4939-7253-1
|
Authors |
Yi-Hsing Hsiao, Chihchen Chen |
Abstract |
Paper-based devices chemically functionalized with capturing molecules enable the isolation and characterization of extracellular vesicles (EVs) from samples of limited amount. Here, we describe the isolation of EV subpopulations from human serum samples. The morphology, content, and amount of captured EVs can be assessed using scanning electron microscopy (SEM ), transcriptome analysis, and paper-based enzyme-linked immunosorbent assays (pELISA), respectively. A colorimetric readout can be detected from 10 μL serum within 10 min. |
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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 31% |
Student > Master | 2 | 13% |
Researcher | 2 | 13% |
Professor | 2 | 13% |
Other | 1 | 6% |
Other | 2 | 13% |
Unknown | 2 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 38% |
Medicine and Dentistry | 3 | 19% |
Engineering | 2 | 13% |
Agricultural and Biological Sciences | 1 | 6% |
Chemistry | 1 | 6% |
Other | 1 | 6% |
Unknown | 2 | 13% |
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 23 August 2017.
All research outputs
#15,477,045
of 22,999,744 outputs
Outputs from Methods in molecular biology
#5,381
of 13,151 outputs
Outputs of similar age
#257,292
of 421,208 outputs
Outputs of similar age from Methods in molecular biology
#468
of 1,074 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,151 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 421,208 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% 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 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.