↓ Skip to main content

An improvement of miRNA extraction efficiency in human plasma

Overview of attention for article published in Analytical & Bioanalytical Chemistry, August 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
40 Mendeley
Title
An improvement of miRNA extraction efficiency in human plasma
Published in
Analytical & Bioanalytical Chemistry, August 2017
DOI 10.1007/s00216-017-0580-7
Pubmed ID
Authors

Eunmi Ban, Dong-Kyu Chae, Young Sook Yoo, Eun Joo Song

Abstract

MicroRNAs (miRNAs) are short noncoding RNA molecules that control the expression of mRNAs associated with various biological processes. Therefore, deregulated miRNAs play important roles in the pathogenesis of diseases. Numerous studies are aimed at discovering biomarkers of diseases or determining miRNA functions by monitoring circulating miRNAs in various biological sources such as plasma and urine. However, the analysis of miRNA in such fluids presents problems related to accuracy and reproducibility because of their low levels in biological fluids. Therefore, better extraction kits and more sensitive detection systems have been developed for improved and reproducible analysis of circulating miRNAs. However, new extraction methods are also needed to improve the yield of miRNAs for their reliable analysis from biological fluids. The combination of yeast transfer RNA (tRNA) and glycogen as carrier molecules and incubation durations were optimized to maximize extraction efficiency. The extraction recovery using a combination of yeast tRNA and glycogen was approximately threefold more than that by using glycogen or yeast tRNA alone. In addition, reproducible and accurate analysis of miRNAs can be carried out after extraction using a combination of yeast tRNA and glycogen without an impact on plasma components. Graphical abstract Steps of miRNA extraction in plasma.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 18%
Student > Master 6 15%
Student > Ph. D. Student 5 13%
Researcher 3 8%
Student > Doctoral Student 2 5%
Other 4 10%
Unknown 13 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 23%
Medicine and Dentistry 5 13%
Pharmacology, Toxicology and Pharmaceutical Science 4 10%
Agricultural and Biological Sciences 2 5%
Materials Science 2 5%
Other 5 13%
Unknown 13 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 October 2017.
All research outputs
#15,523,434
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#4,708
of 9,619 outputs
Outputs of similar age
#174,891
of 324,511 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#40
of 158 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 324,511 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.