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Parallel evolution of genome structure and transcriptional landscape in the Epsilonproteobacteria

Overview of attention for article published in BMC Genomics, September 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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
10 tweeters

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
60 Mendeley
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Title
Parallel evolution of genome structure and transcriptional landscape in the Epsilonproteobacteria
Published in
BMC Genomics, September 2013
DOI 10.1186/1471-2164-14-616
Pubmed ID
Authors

Ida Porcelli, Mark Reuter, Bruce M Pearson, Thomas Wilhelm, Arnoud HM van Vliet

Abstract

Gene reshuffling, point mutations and horizontal gene transfer contribute to bacterial genome variation, but require the genome to rewire its transcriptional circuitry to ensure that inserted, mutated or reshuffled genes are transcribed at appropriate levels. The genomes of Epsilonproteobacteria display very low synteny, due to high levels of reshuffling and reorganisation of gene order, but still share a significant number of gene orthologs allowing comparison. Here we present the primary transcriptome of the pathogenic Epsilonproteobacterium Campylobacter jejuni, and have used this for comparative and predictive transcriptomics in the Epsilonproteobacteria.

Twitter Demographics

The data shown below were collected from the profiles of 10 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Ireland 1 2%
Uruguay 1 2%
New Zealand 1 2%
Greece 1 2%
Unknown 55 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 28%
Researcher 13 22%
Student > Master 10 17%
Student > Doctoral Student 4 7%
Student > Bachelor 2 3%
Other 8 13%
Unknown 6 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 55%
Biochemistry, Genetics and Molecular Biology 11 18%
Immunology and Microbiology 3 5%
Veterinary Science and Veterinary Medicine 2 3%
Environmental Science 2 3%
Other 4 7%
Unknown 5 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 10 June 2016.
All research outputs
#664,507
of 12,373,620 outputs
Outputs from BMC Genomics
#219
of 7,313 outputs
Outputs of similar age
#9,872
of 155,222 outputs
Outputs of similar age from BMC Genomics
#1
of 35 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 97% 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 155,222 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.