↓ Skip to main content

Subtractive assembly for comparative metagenomics, and its application to type 2 diabetes metagenomes

Overview of attention for article published in Genome Biology, November 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

twitter
24 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Readers on

mendeley
103 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Subtractive assembly for comparative metagenomics, and its application to type 2 diabetes metagenomes
Published in
Genome Biology, November 2015
DOI 10.1186/s13059-015-0804-0
Pubmed ID
Authors

Mingjie Wang, Thomas G. Doak, Yuzhen Ye

Abstract

Comparative metagenomics remains challenging due to the size and complexity of metagenomic datasets. Here we introduce subtractive assembly, a de novo assembly approach for comparative metagenomics that directly assembles only the differential reads that distinguish between two groups of metagenomes. Using simulated datasets, we show it improves both the efficiency of the assembly and the assembly quality of the differential genomes and genes. Further, its application to type 2 diabetes (T2D) metagenomic datasets reveals clear signatures of the T2D gut microbiome, revealing new phylogenetic and functional features of the gut microbial communities associated with T2D.

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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 7%
Canada 3 3%
Germany 2 2%
Brazil 2 2%
Argentina 1 <1%
Japan 1 <1%
Spain 1 <1%
Unknown 86 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 23%
Student > Ph. D. Student 18 17%
Student > Master 16 16%
Other 9 9%
Professor 7 7%
Other 21 20%
Unknown 8 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 43%
Biochemistry, Genetics and Molecular Biology 20 19%
Computer Science 11 11%
Medicine and Dentistry 9 9%
Immunology and Microbiology 3 3%
Other 5 5%
Unknown 11 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 07 November 2015.
All research outputs
#2,405,325
of 25,374,647 outputs
Outputs from Genome Biology
#1,957
of 4,467 outputs
Outputs of similar age
#33,643
of 296,363 outputs
Outputs of similar age from Genome Biology
#42
of 86 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% 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 has gotten more attention than average, scoring higher than 56% 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 296,363 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 88% of its contemporaries.
We're also able to compare this research output to 86 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 51% of its contemporaries.