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Construction and model-based analysis of a promoter library for E. coli: an indispensable tool for metabolic engineering

Overview of attention for article published in BMC Biotechnology, June 2007
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

patent
14 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
158 Dimensions

Readers on

mendeley
378 Mendeley
citeulike
1 CiteULike
connotea
2 Connotea
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Title
Construction and model-based analysis of a promoter library for E. coli: an indispensable tool for metabolic engineering
Published in
BMC Biotechnology, June 2007
DOI 10.1186/1472-6750-7-34
Pubmed ID
Authors

Marjan De Mey, Jo Maertens, Gaspard J Lequeux, Wim K Soetaert, Erick J Vandamme

Abstract

Nowadays, the focus in metabolic engineering research is shifting from massive overexpression and inactivation of genes towards the model-based fine tuning of gene expression. In this context, the construction of a library of synthetic promoters of Escherichia coli as a useful tool for fine tuning gene expression is discussed here.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 378 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 6 2%
United States 6 2%
United Kingdom 5 1%
Germany 2 <1%
Lithuania 1 <1%
India 1 <1%
Mexico 1 <1%
Portugal 1 <1%
Denmark 1 <1%
Other 3 <1%
Unknown 351 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 108 29%
Student > Master 70 19%
Researcher 68 18%
Student > Bachelor 33 9%
Student > Doctoral Student 16 4%
Other 44 12%
Unknown 39 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 165 44%
Biochemistry, Genetics and Molecular Biology 99 26%
Engineering 36 10%
Chemical Engineering 9 2%
Chemistry 7 2%
Other 16 4%
Unknown 46 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 13 September 2023.
All research outputs
#2,864,052
of 25,374,917 outputs
Outputs from BMC Biotechnology
#83
of 982 outputs
Outputs of similar age
#6,567
of 80,264 outputs
Outputs of similar age from BMC Biotechnology
#1
of 13 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 982 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done particularly well, scoring higher than 91% 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 80,264 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 90% of its contemporaries.
We're also able to compare this research output to 13 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.