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Hybrid selection for sequencing pathogen genomes from clinical samples

Overview of attention for article published in Genome Biology, August 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
100 Dimensions

Readers on

mendeley
130 Mendeley
citeulike
7 CiteULike
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Title
Hybrid selection for sequencing pathogen genomes from clinical samples
Published in
Genome Biology, August 2011
DOI 10.1186/gb-2011-12-8-r73
Pubmed ID
Authors

Alexandre Melnikov, Kevin Galinsky, Peter Rogov, Timothy Fennell, Daria Van Tyne, Carsten Russ, Rachel Daniels, Kayla G Barnes, James Bochicchio, Daouda Ndiaye, Papa D Sene, Dyann F Wirth, Chad Nusbaum, Sarah K Volkman, Bruce W Birren, Andreas Gnirke, Daniel E Neafsey

Abstract

We have adapted a solution hybrid selection protocol to enrich pathogen DNA in clinical samples dominated by human genetic material. Using mock mixtures of human and Plasmodium falciparum malaria parasite DNA as well as clinical samples from infected patients, we demonstrate an average of approximately 40-fold enrichment of parasite DNA after hybrid selection. This approach will enable efficient genome sequencing of pathogens from clinical samples, as well as sequencing of endosymbiotic organisms such as Wolbachia that live inside diverse metazoan phyla.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
United Kingdom 5 4%
Brazil 2 2%
Pakistan 1 <1%
Sweden 1 <1%
Mexico 1 <1%
Germany 1 <1%
China 1 <1%
Denmark 1 <1%
Other 2 2%
Unknown 109 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 34%
Student > Ph. D. Student 37 28%
Student > Master 13 10%
Student > Doctoral Student 7 5%
Professor 6 5%
Other 10 8%
Unknown 13 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 61%
Biochemistry, Genetics and Molecular Biology 14 11%
Medicine and Dentistry 8 6%
Immunology and Microbiology 3 2%
Computer Science 2 2%
Other 9 7%
Unknown 15 12%
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 01 April 2021.
All research outputs
#5,446,629
of 25,373,627 outputs
Outputs from Genome Biology
#2,944
of 4,467 outputs
Outputs of similar age
#28,190
of 131,745 outputs
Outputs of similar age from Genome Biology
#18
of 44 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 32nd percentile – i.e., 32% 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 131,745 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 74% of its contemporaries.
We're also able to compare this research output to 44 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 56% of its contemporaries.