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An introduction to the analysis of shotgun metagenomic data

Overview of attention for article published in Frontiers in Plant Science, June 2014
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
4 news outlets
blogs
2 blogs
twitter
37 X users
facebook
1 Facebook page
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
485 Dimensions

Readers on

mendeley
2116 Mendeley
citeulike
1 CiteULike
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Title
An introduction to the analysis of shotgun metagenomic data
Published in
Frontiers in Plant Science, June 2014
DOI 10.3389/fpls.2014.00209
Pubmed ID
Authors

Thomas J. Sharpton

Abstract

Environmental DNA sequencing has revealed the expansive biodiversity of microorganisms and clarified the relationship between host-associated microbial communities and host phenotype. Shotgun metagenomic DNA sequencing is a relatively new and powerful environmental sequencing approach that provides insight into community biodiversity and function. But, the analysis of metagenomic sequences is complicated due to the complex structure of the data. Fortunately, new tools and data resources have been developed to circumvent these complexities and allow researchers to determine which microbes are present in the community and what they might be doing. This review describes the analytical strategies and specific tools that can be applied to metagenomic data and the considerations and caveats associated with their use. Specifically, it documents how metagenomes can be analyzed to quantify community structure and diversity, assemble novel genomes, identify new taxa and genes, and determine which metabolic pathways are encoded in the community. It also discusses several methods that can be used compare metagenomes to identify taxa and functions that differentiate communities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 37 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2,116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 23 1%
United Kingdom 7 <1%
Germany 6 <1%
Canada 5 <1%
Brazil 4 <1%
France 4 <1%
Netherlands 3 <1%
Switzerland 2 <1%
Sweden 2 <1%
Other 20 <1%
Unknown 2040 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 510 24%
Student > Master 338 16%
Researcher 330 16%
Student > Bachelor 224 11%
Student > Doctoral Student 113 5%
Other 247 12%
Unknown 354 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 736 35%
Biochemistry, Genetics and Molecular Biology 423 20%
Environmental Science 120 6%
Immunology and Microbiology 86 4%
Computer Science 63 3%
Other 260 12%
Unknown 428 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 64. 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 26 May 2023.
All research outputs
#663,728
of 25,301,208 outputs
Outputs from Frontiers in Plant Science
#155
of 24,346 outputs
Outputs of similar age
#5,500
of 212,742 outputs
Outputs of similar age from Frontiers in Plant Science
#1
of 166 outputs
Altmetric has tracked 25,301,208 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,346 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 99% 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 212,742 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 97% of its contemporaries.
We're also able to compare this research output to 166 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 99% of its contemporaries.