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Metabolic engineering for glycoglycerolipids production in E. coli: Tuning phosphatidic acid and UDP-glucose pathways

Overview of attention for article published in Metabolic Engineering, May 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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5 X users

Citations

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6 Dimensions

Readers on

mendeley
36 Mendeley
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Title
Metabolic engineering for glycoglycerolipids production in E. coli: Tuning phosphatidic acid and UDP-glucose pathways
Published in
Metabolic Engineering, May 2020
DOI 10.1016/j.ymben.2020.05.010
Pubmed ID
Authors

Nuria Orive-Milla, Tom Delmulle, Marjan de Mey, Magda Faijes, Antoni Planas

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Researcher 6 17%
Student > Master 6 17%
Student > Bachelor 2 6%
Professor 2 6%
Other 4 11%
Unknown 10 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 42%
Agricultural and Biological Sciences 6 17%
Engineering 2 6%
Business, Management and Accounting 1 3%
Chemical Engineering 1 3%
Other 2 6%
Unknown 9 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 June 2020.
All research outputs
#7,347,775
of 25,387,668 outputs
Outputs from Metabolic Engineering
#763
of 1,463 outputs
Outputs of similar age
#159,753
of 432,497 outputs
Outputs of similar age from Metabolic Engineering
#11
of 23 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,463 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 432,497 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 62% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.