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Compression-based distance (CBD): a simple, rapid, and accurate method for microbiota composition comparison

Overview of attention for article published in BMC Bioinformatics, April 2013
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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18 X users

Citations

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Readers on

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58 Mendeley
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Title
Compression-based distance (CBD): a simple, rapid, and accurate method for microbiota composition comparison
Published in
BMC Bioinformatics, April 2013
DOI 10.1186/1471-2105-14-136
Pubmed ID
Authors

Fang Yang, Nicholas Chia, Bryan A White, Lawrence B Schook

Abstract

Perturbations in intestinal microbiota composition have been associated with a variety of gastrointestinal tract-related diseases. The alleviation of symptoms has been achieved using treatments that alter the gastrointestinal tract microbiota toward that of healthy individuals. Identifying differences in microbiota composition through the use of 16S rRNA gene hypervariable tag sequencing has profound health implications. Current computational methods for comparing microbial communities are usually based on multiple alignments and phylogenetic inference, making them time consuming and requiring exceptional expertise and computational resources. As sequencing data rapidly grows in size, simpler analysis methods are needed to meet the growing computational burdens of microbiota comparisons. Thus, we have developed a simple, rapid, and accurate method, independent of multiple alignments and phylogenetic inference, to support microbiota comparisons.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Estonia 2 3%
Iran, Islamic Republic of 1 2%
Brazil 1 2%
Japan 1 2%
Sweden 1 2%
Unknown 49 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 34%
Student > Ph. D. Student 11 19%
Professor > Associate Professor 5 9%
Professor 5 9%
Student > Master 5 9%
Other 9 16%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 48%
Biochemistry, Genetics and Molecular Biology 5 9%
Computer Science 5 9%
Immunology and Microbiology 3 5%
Environmental Science 3 5%
Other 11 19%
Unknown 3 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 13 July 2023.
All research outputs
#3,531,808
of 24,601,689 outputs
Outputs from BMC Bioinformatics
#1,214
of 7,559 outputs
Outputs of similar age
#29,024
of 198,948 outputs
Outputs of similar age from BMC Bioinformatics
#23
of 125 outputs
Altmetric has tracked 24,601,689 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,559 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 83% 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 198,948 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 85% of its contemporaries.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.