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Evaluation of pre-analytical factors affecting plasma DNA analysis

Overview of attention for article published in Scientific Reports, May 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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5 news outlets
blogs
1 blog
twitter
9 X users
patent
3 patents

Citations

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106 Dimensions

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158 Mendeley
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Title
Evaluation of pre-analytical factors affecting plasma DNA analysis
Published in
Scientific Reports, May 2018
DOI 10.1038/s41598-018-25810-0
Pubmed ID
Authors

Havell Markus, Tania Contente-Cuomo, Maria Farooq, Winnie S. Liang, Mitesh J. Borad, Shivan Sivakumar, Simon Gollins, Nhan L. Tran, Harshil D. Dhruv, Michael E. Berens, Alan Bryce, Aleksandar Sekulic, Antoni Ribas, Jeffrey M. Trent, Patricia M. LoRusso, Muhammed Murtaza

Abstract

Pre-analytical factors can significantly affect circulating cell-free DNA (cfDNA) analysis. However, there are few robust methods to rapidly assess sample quality and the impact of pre-analytical processing. To address this gap and to evaluate effects of DNA extraction methods and blood collection tubes on cfDNA yield and fragment size, we developed a multiplexed droplet digital PCR (ddPCR) assay with 5 short and 4 long amplicons targeting single copy genomic loci. Using this assay, we compared 7 cfDNA extraction kits and found cfDNA yield and fragment size vary significantly. We also compared 3 blood collection protocols using plasma samples from 23 healthy volunteers (EDTA tubes processed within 1 hour and Cell-free DNA Blood Collection Tubes processed within 24 and 72 hours) and found no significant differences in cfDNA yield, fragment size and background noise between these protocols. In 219 clinical samples, cfDNA fragments were shorter in plasma samples processed immediately after venipuncture compared to archived samples, suggesting contribution of background DNA by lysed peripheral blood cells. In summary, we have described a multiplexed ddPCR assay to assess quality of cfDNA samples prior to downstream molecular analyses and we have evaluated potential sources of pre-analytical variation in cfDNA studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 158 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 25%
Student > Ph. D. Student 32 20%
Other 9 6%
Student > Bachelor 8 5%
Student > Doctoral Student 6 4%
Other 18 11%
Unknown 45 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 45 28%
Agricultural and Biological Sciences 25 16%
Medicine and Dentistry 13 8%
Immunology and Microbiology 7 4%
Chemistry 4 3%
Other 10 6%
Unknown 54 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 51. 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 16 November 2023.
All research outputs
#815,579
of 25,090,809 outputs
Outputs from Scientific Reports
#8,735
of 137,777 outputs
Outputs of similar age
#18,092
of 333,539 outputs
Outputs of similar age from Scientific Reports
#218
of 3,345 outputs
Altmetric has tracked 25,090,809 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 137,777 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has done particularly well, scoring higher than 93% 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 333,539 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 3,345 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.