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Reconstruction of the microalga Nannochloropsis salina genome-scale metabolic model with applications to lipid production

Overview of attention for article published in BMC Systems Biology, July 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
2 tweeters
reddit
1 Redditor

Citations

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29 Dimensions

Readers on

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103 Mendeley
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Title
Reconstruction of the microalga Nannochloropsis salina genome-scale metabolic model with applications to lipid production
Published in
BMC Systems Biology, July 2017
DOI 10.1186/s12918-017-0441-1
Pubmed ID
Authors

Nicolás Loira, Sebastian Mendoza, María Paz Cortés, Natalia Rojas, Dante Travisany, Alex Di Genova, Natalia Gajardo, Nicole Ehrenfeld, Alejandro Maass

Abstract

Nannochloropsis salina (= Eustigmatophyceae) is a marine microalga which has become a biotechnological target because of its high capacity to produce polyunsaturated fatty acids and triacylglycerols. It has been used as a source of biofuel, pigments and food supplements, like Omega 3. Only some Nannochloropsis species have been sequenced, but none of them benefit from a genome-scale metabolic model (GSMM), able to predict its metabolic capabilities. We present iNS934, the first GSMM for N. salina, including 2345 reactions, 934 genes and an exhaustive description of lipid and nitrogen metabolism. iNS934 has a 90% of accuracy when making simple growth/no-growth predictions and has a 15% error rate in predicting growth rates in different experimental conditions. Moreover, iNS934 allowed us to propose 82 different knockout strategies for strain optimization of triacylglycerols. iNS934 provides a powerful tool for metabolic improvement, allowing predictions and simulations of N. salina metabolism under different media and genetic conditions. It also provides a systemic view of N. salina metabolism, potentially guiding research and providing context to -omics data.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 16%
Student > Ph. D. Student 14 14%
Student > Master 14 14%
Student > Bachelor 10 10%
Professor > Associate Professor 7 7%
Other 16 16%
Unknown 26 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 23%
Agricultural and Biological Sciences 18 17%
Engineering 10 10%
Immunology and Microbiology 3 3%
Chemical Engineering 3 3%
Other 12 12%
Unknown 33 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 October 2017.
All research outputs
#6,772,957
of 12,043,827 outputs
Outputs from BMC Systems Biology
#424
of 1,000 outputs
Outputs of similar age
#121,623
of 265,489 outputs
Outputs of similar age from BMC Systems Biology
#4
of 10 outputs
Altmetric has tracked 12,043,827 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,000 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 55% 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 265,489 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.