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Automated serial extraction of DNA and RNA from biobanked tissue specimens

Overview of attention for article published in BMC Biotechnology, August 2013
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2 tweeters
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Citations

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42 Mendeley
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Title
Automated serial extraction of DNA and RNA from biobanked tissue specimens
Published in
BMC Biotechnology, August 2013
DOI 10.1186/1472-6750-13-66
Pubmed ID
Authors

Lucy Mathot, Monica Wallin, Tobias Sjöblom

Abstract

With increasing biobanking of biological samples, methods for large scale extraction of nucleic acids are in demand. The lack of such techniques designed for extraction from tissues results in a bottleneck in downstream genetic analyses, particularly in the field of cancer research. We have developed an automated procedure for tissue homogenization and extraction of DNA and RNA into separate fractions from the same frozen tissue specimen. A purpose developed magnetic bead based technology to serially extract both DNA and RNA from tissues was automated on a Tecan Freedom Evo robotic workstation.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Mexico 1 2%
United States 1 2%
Switzerland 1 2%
Unknown 38 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Researcher 10 24%
Student > Bachelor 6 14%
Other 2 5%
Student > Postgraduate 2 5%
Other 5 12%
Unknown 7 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 45%
Biochemistry, Genetics and Molecular Biology 8 19%
Medicine and Dentistry 2 5%
Chemistry 2 5%
Sports and Recreations 1 2%
Other 3 7%
Unknown 7 17%

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 28 January 2016.
All research outputs
#15,276,424
of 22,716,996 outputs
Outputs from BMC Biotechnology
#668
of 935 outputs
Outputs of similar age
#122,436
of 198,412 outputs
Outputs of similar age from BMC Biotechnology
#14
of 16 outputs
Altmetric has tracked 22,716,996 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 935 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 22nd percentile – i.e., 22% 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 198,412 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 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.