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Automated design of bacterial genome sequences

Overview of attention for article published in BMC Systems Biology, October 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 (78th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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12 X users

Citations

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1 Dimensions

Readers on

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36 Mendeley
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Title
Automated design of bacterial genome sequences
Published in
BMC Systems Biology, October 2013
DOI 10.1186/1752-0509-7-108
Pubmed ID
Authors

Javier Carrera, Alfonso Jaramillo

Abstract

Organisms have evolved ways of regulating transcription to better adapt to varying environments. Could the current functional genomics data and models support the possibility of engineering a genome with completely rearranged gene organization while the cell maintains its behavior under environmental challenges? How would we proceed to design a full nucleotide sequence for such genomes?

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
France 1 3%
United Kingdom 1 3%
Sweden 1 3%
China 1 3%
Iran, Islamic Republic of 1 3%
Unknown 29 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 36%
Student > Ph. D. Student 8 22%
Student > Doctoral Student 4 11%
Professor > Associate Professor 4 11%
Professor 3 8%
Other 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 50%
Biochemistry, Genetics and Molecular Biology 7 19%
Computer Science 6 17%
Social Sciences 3 8%
Mathematics 1 3%
Other 1 3%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 30 April 2014.
All research outputs
#5,339,368
of 25,374,647 outputs
Outputs from BMC Systems Biology
#150
of 1,132 outputs
Outputs of similar age
#46,721
of 224,589 outputs
Outputs of similar age from BMC Systems Biology
#3
of 41 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 86% 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 224,589 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 78% of its contemporaries.
We're also able to compare this research output to 41 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 92% of its contemporaries.