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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, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
4 tweeters
patent
1 patent

Readers on

mendeley
127 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, January 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.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 127 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%
Australia 1 <1%
Austria 1 <1%
United Kingdom 1 <1%
France 1 <1%
Namibia 1 <1%
Argentina 1 <1%
Other 0 0%
Unknown 112 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 22%
Researcher 26 20%
Student > Ph. D. Student 22 17%
Student > Bachelor 13 10%
Student > Postgraduate 9 7%
Other 20 16%
Unknown 9 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 51%
Biochemistry, Genetics and Molecular Biology 17 13%
Medicine and Dentistry 9 7%
Immunology and Microbiology 8 6%
Computer Science 7 6%
Other 8 6%
Unknown 13 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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
#5,141,222
of 21,144,390 outputs
Outputs from BMC Genomics
#2,165
of 10,223 outputs
Outputs of similar age
#47,421
of 201,453 outputs
Outputs of similar age from BMC Genomics
#2
of 7 outputs
Altmetric has tracked 21,144,390 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,223 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 78% 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 201,453 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 76% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.