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Quantitative RNA-seq analysis of the Campylobacter jejuni transcriptome

Overview of attention for article published in Microbiology, August 2011
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Article details
Title
Quantitative RNA-seq analysis of the Campylobacter jejuni transcriptome
Published in
Microbiology, August 2011
DOI 10.1099/mic.0.050278-0
Pubmed ID
Authors
Abstract

Campylobacter jejuni is the most common bacterial cause of foodborne disease in the developed world. Its general physiology and biochemistry, as well as the mechanisms enabling it to colonize and cause disease in various hosts, are not well understood, and new approaches are required to understand its basic biology. High-throughput sequencing technologies provide unprecedented opportunities for functional genomic research. Recent studies have shown that direct Illumina sequencing of cDNA (RNA-seq) is a useful technique for the quantitative and qualitative examination of transcriptomes. In this study we report RNA-seq analyses of the transcriptomes of C. jejuni (NCTC11168) and its rpoN mutant. This has allowed the identification of hitherto unknown transcriptional units, and further defines the regulon that is dependent on rpoN for expression. The analysis of the NCTC11168 transcriptome was supplemented by additional proteomic analysis using liquid chromatography-MS. The transcriptomic and proteomic datasets represent an important resource for the Campylobacter research community.

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Mendeley demographics

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The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Thailand 1 <1%
Poland 1 <1%
Italy 1 <1%
Croatia 1 <1%
France 1 <1%
Canada 1 <1%
Unknown 99 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 32 30%
Researcher 26 25%
Student > Bachelor 7 7%
Student > Master 5 5%
Other 4 4%
Other 18 17%
Unknown 13 12%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 54 51%
Biochemistry, Genetics and Molecular Biology 15 14%
Immunology and Microbiology 6 6%
Veterinary Science and Veterinary Medicine 4 4%
Medicine and Dentistry 4 4%
Other 7 7%
Unknown 15 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 May 2012.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Microbiology
#5,502
of 5,709 outputs
Outputs of similar age
#120,465
of 130,576 outputs
Outputs of similar age from Microbiology
#18
of 20 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,709 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.