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Multidimensional metrics for estimating phage abundance, distribution, gene density, and sequence coverage in metagenomes

Overview of attention for article published in Frontiers in Microbiology, May 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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24 X users

Citations

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31 Dimensions

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Title
Multidimensional metrics for estimating phage abundance, distribution, gene density, and sequence coverage in metagenomes
Published in
Frontiers in Microbiology, May 2015
DOI 10.3389/fmicb.2015.00381
Pubmed ID
Authors

Ramy K. Aziz, Bhakti Dwivedi, Sajia Akhter, Mya Breitbart, Robert A. Edwards

Abstract

Phages are the most abundant biological entities on Earth and play major ecological roles, yet the current sequenced phage genomes do not adequately represent their diversity, and little is known about the abundance and distribution of these sequenced genomes in nature. Although the study of phage ecology has benefited tremendously from the emergence of metagenomic sequencing, a systematic survey of phage genes and genomes in various ecosystems is still lacking, and fundamental questions about phage biology, lifestyle, and ecology remain unanswered. To address these questions and improve comparative analysis of phages in different metagenomes, we screened a core set of publicly available metagenomic samples for sequences related to completely sequenced phages using the web tool, Phage Eco-Locator. We then adopted and deployed an array of mathematical and statistical metrics for a multidimensional estimation of the abundance and distribution of phage genes and genomes in various ecosystems. Experiments using those metrics individually showed their usefulness in emphasizing the pervasive, yet uneven, distribution of known phage sequences in environmental metagenomes. Using these metrics in combination allowed us to resolve phage genomes into clusters that correlated with their genotypes and taxonomic classes as well as their ecological properties. We propose adding this set of metrics to current metaviromic analysis pipelines, where they can provide insight regarding phage mosaicism, habitat specificity, and evolution.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 3%
Egypt 2 1%
France 1 <1%
Sweden 1 <1%
United States 1 <1%
Unknown 144 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 29%
Student > Ph. D. Student 30 20%
Student > Bachelor 18 12%
Student > Master 18 12%
Professor > Associate Professor 10 7%
Other 17 11%
Unknown 16 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 42%
Biochemistry, Genetics and Molecular Biology 28 18%
Immunology and Microbiology 15 10%
Environmental Science 11 7%
Computer Science 4 3%
Other 7 5%
Unknown 23 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 08 January 2020.
All research outputs
#2,456,248
of 23,498,099 outputs
Outputs from Frontiers in Microbiology
#1,976
of 25,939 outputs
Outputs of similar age
#32,585
of 265,974 outputs
Outputs of similar age from Frontiers in Microbiology
#26
of 374 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 25,939 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 92% 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 265,974 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 374 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 93% of its contemporaries.