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Digital PCR provides sensitive and absolute calibration for high throughput sequencing

Overview of attention for article published in BMC Genomics, March 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
patent
3 patents

Citations

dimensions_citation
165 Dimensions

Readers on

mendeley
382 Mendeley
citeulike
8 CiteULike
connotea
3 Connotea
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Title
Digital PCR provides sensitive and absolute calibration for high throughput sequencing
Published in
BMC Genomics, March 2009
DOI 10.1186/1471-2164-10-116
Pubmed ID
Authors

Richard A White, Paul C Blainey, H Christina Fan, Stephen R Quake

Abstract

Next-generation DNA sequencing on the 454, Solexa, and SOLiD platforms requires absolute calibration of the number of molecules to be sequenced. This requirement has two unfavorable consequences. First, large amounts of sample-typically micrograms-are needed for library preparation, thereby limiting the scope of samples which can be sequenced. For many applications, including metagenomics and the sequencing of ancient, forensic, and clinical samples, the quantity of input DNA can be critically limiting. Second, each library requires a titration sequencing run, thereby increasing the cost and lowering the throughput of sequencing.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 382 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 4%
Brazil 4 1%
Germany 2 <1%
France 2 <1%
Italy 2 <1%
South Africa 2 <1%
Norway 2 <1%
United Kingdom 2 <1%
Canada 2 <1%
Other 10 3%
Unknown 340 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 131 34%
Student > Ph. D. Student 67 18%
Student > Master 40 10%
Other 24 6%
Professor > Associate Professor 23 6%
Other 68 18%
Unknown 29 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 184 48%
Biochemistry, Genetics and Molecular Biology 59 15%
Medicine and Dentistry 26 7%
Engineering 21 5%
Chemistry 14 4%
Other 47 12%
Unknown 31 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 04 October 2018.
All research outputs
#2,233,226
of 23,577,761 outputs
Outputs from BMC Genomics
#642
of 10,787 outputs
Outputs of similar age
#7,018
of 95,782 outputs
Outputs of similar age from BMC Genomics
#2
of 28 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. 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 95,782 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 92% of its contemporaries.
We're also able to compare this research output to 28 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 92% of its contemporaries.