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Methods for comparative metagenomics

Overview of attention for article published in BMC Bioinformatics, January 2009
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Title
Methods for comparative metagenomics
Published in
BMC Bioinformatics, January 2009
DOI 10.1186/1471-2105-10-s1-s12
Pubmed ID
Authors

Daniel H Huson, Daniel C Richter, Suparna Mitra, Alexander F Auch, Stephan C Schuster

Abstract

Metagenomics is a rapidly growing field of research that aims at studying uncultured organisms to understand the true diversity of microbes, their functions, cooperation and evolution, in environments such as soil, water, ancient remains of animals, or the digestive system of animals and humans. The recent development of ultra-high throughput sequencing technologies, which do not require cloning or PCR amplification, and can produce huge numbers of DNA reads at an affordable cost, has boosted the number and scope of metagenomic sequencing projects. Increasingly, there is a need for new ways of comparing multiple metagenomics datasets, and for fast and user-friendly implementations of such approaches.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 505 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 3%
Brazil 14 3%
United Kingdom 6 1%
Sweden 4 <1%
Canada 4 <1%
India 4 <1%
Australia 3 <1%
France 3 <1%
Spain 3 <1%
Other 19 4%
Unknown 430 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 149 30%
Researcher 121 24%
Student > Master 67 13%
Student > Bachelor 34 7%
Student > Doctoral Student 26 5%
Other 87 17%
Unknown 21 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 326 65%
Biochemistry, Genetics and Molecular Biology 44 9%
Computer Science 37 7%
Environmental Science 26 5%
Medicine and Dentistry 11 2%
Other 32 6%
Unknown 29 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 January 2012.
All research outputs
#19,821,514
of 24,359,979 outputs
Outputs from BMC Bioinformatics
#6,541
of 7,521 outputs
Outputs of similar age
#167,264
of 178,985 outputs
Outputs of similar age from BMC Bioinformatics
#53
of 56 outputs
Altmetric has tracked 24,359,979 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.