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Accuracy and quality of massively parallel DNA pyrosequencing

Overview of attention for article published in Genome Biology, July 2007
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

patent
47 patents
q&a
1 Q&A thread

Citations

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1076 Dimensions

Readers on

mendeley
939 Mendeley
citeulike
34 CiteULike
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6 Connotea
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Title
Accuracy and quality of massively parallel DNA pyrosequencing
Published in
Genome Biology, July 2007
DOI 10.1186/gb-2007-8-7-r143
Pubmed ID
Authors

Susan M Huse, Julie A Huber, Hilary G Morrison, Mitchell L Sogin, David Mark Welch

Abstract

Massively parallel pyrosequencing systems have increased the efficiency of DNA sequencing, although the published per-base accuracy of a Roche GS20 is only 96%. In genome projects, highly redundant consensus assemblies can compensate for sequencing errors. In contrast, studies of microbial diversity that catalogue differences between PCR amplicons of ribosomal RNA genes (rDNA) or other conserved gene families cannot take advantage of consensus assemblies to detect and minimize incorrect base calls.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 939 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 37 4%
Brazil 14 1%
Germany 12 1%
United Kingdom 10 1%
Spain 8 <1%
Belgium 5 <1%
Portugal 5 <1%
France 5 <1%
Canada 5 <1%
Other 32 3%
Unknown 806 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 258 27%
Researcher 230 24%
Student > Master 111 12%
Professor > Associate Professor 57 6%
Student > Doctoral Student 46 5%
Other 171 18%
Unknown 66 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 555 59%
Biochemistry, Genetics and Molecular Biology 84 9%
Environmental Science 64 7%
Computer Science 40 4%
Medicine and Dentistry 26 3%
Other 79 8%
Unknown 91 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 12 March 2024.
All research outputs
#6,374,015
of 25,374,647 outputs
Outputs from Genome Biology
#3,049
of 4,467 outputs
Outputs of similar age
#22,776
of 77,523 outputs
Outputs of similar age from Genome Biology
#18
of 42 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 31st percentile – i.e., 31% 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 77,523 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 42 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 57% of its contemporaries.