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Analysis of the intestinal microbiota using SOLiD 16S rRNA gene sequencing and SOLiD shotgun sequencing

Overview of attention for article published in BMC Genomics, October 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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3 X users
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1 patent

Citations

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41 Dimensions

Readers on

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131 Mendeley
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Title
Analysis of the intestinal microbiota using SOLiD 16S rRNA gene sequencing and SOLiD shotgun sequencing
Published in
BMC Genomics, October 2013
DOI 10.1186/1471-2164-14-s5-s16
Pubmed ID
Authors

Suparna Mitra, Karin Förster-Fromme, Antje Damms-Machado, Tim Scheurenbrand, Saskia Biskup, Daniel H Huson, Stephan C Bischoff

Abstract

Metagenomics seeks to understand microbial communities and assemblages by DNA sequencing. Technological advances in next generation sequencing technologies are fuelling a rapid growth in the number and scope of projects aiming to analyze complex microbial environments such as marine, soil or the gut. Recent improvements in longer read lengths and paired-sequencing allow better resolution in profiling microbial communities. While both 454 sequencing and Illumina sequencing have been used in numerous metagenomic studies, SOLiD sequencing is not commonly used in this area, as it is believed to be more suitable in the context of reference-guided projects.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
India 3 2%
Brazil 2 2%
Austria 1 <1%
United Kingdom 1 <1%
France 1 <1%
Namibia 1 <1%
Argentina 1 <1%
Unknown 117 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 21%
Researcher 26 20%
Student > Ph. D. Student 22 17%
Student > Bachelor 13 10%
Student > Doctoral Student 8 6%
Other 21 16%
Unknown 14 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 50%
Biochemistry, Genetics and Molecular Biology 16 12%
Medicine and Dentistry 9 7%
Immunology and Microbiology 8 6%
Computer Science 7 5%
Other 10 8%
Unknown 16 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 05 July 2018.
All research outputs
#7,117,653
of 25,711,518 outputs
Outputs from BMC Genomics
#2,826
of 11,306 outputs
Outputs of similar age
#60,512
of 224,522 outputs
Outputs of similar age from BMC Genomics
#44
of 211 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 11,306 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 74% 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 224,522 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 211 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.