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Effective DNA/RNA Co-Extraction for Analysis of MicroRNAs, mRNAs, and Genomic DNA from Formalin-Fixed Paraffin-Embedded Specimens

Overview of attention for article published in PLOS ONE, April 2012
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2 X users

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198 Mendeley
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Title
Effective DNA/RNA Co-Extraction for Analysis of MicroRNAs, mRNAs, and Genomic DNA from Formalin-Fixed Paraffin-Embedded Specimens
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0034683
Pubmed ID
Authors

Adam Kotorashvili, Andrew Ramnauth, Christina Liu, Juan Lin, Kenny Ye, Ryung Kim, Rachel Hazan, Thomas Rohan, Susan Fineberg, Olivier Loudig

Abstract

Retrospective studies of archived human specimens, with known clinical follow-up, are used to identify predictive and prognostic molecular markers of disease. Due to biochemical differences, however, formalin-fixed paraffin-embedded (FFPE) DNA and RNA have generally been extracted separately from either different tissue sections or from the same section by dividing the digested tissue. The former limits accurate correlation whilst the latter is impractical when utilizing rare or limited archived specimens.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Brazil 2 1%
United Kingdom 2 1%
Malaysia 1 <1%
South Africa 1 <1%
Germany 1 <1%
India 1 <1%
Spain 1 <1%
Denmark 1 <1%
Other 0 0%
Unknown 186 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 25%
Student > Ph. D. Student 38 19%
Student > Master 22 11%
Student > Bachelor 16 8%
Student > Doctoral Student 10 5%
Other 37 19%
Unknown 26 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 78 39%
Biochemistry, Genetics and Molecular Biology 38 19%
Medicine and Dentistry 28 14%
Pharmacology, Toxicology and Pharmaceutical Science 4 2%
Immunology and Microbiology 3 2%
Other 18 9%
Unknown 29 15%
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 25 April 2012.
All research outputs
#14,143,926
of 22,664,644 outputs
Outputs from PLOS ONE
#115,535
of 193,509 outputs
Outputs of similar age
#94,674
of 161,293 outputs
Outputs of similar age from PLOS ONE
#2,026
of 3,658 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 36th percentile – i.e., 36% 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 161,293 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,658 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.