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Characterizing acetogenic metabolism using a genome-scale metabolic reconstruction of Clostridium ljungdahlii

Overview of attention for article published in Microbial Cell Factories, November 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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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1 X user
patent
4 patents

Citations

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140 Dimensions

Readers on

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324 Mendeley
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Title
Characterizing acetogenic metabolism using a genome-scale metabolic reconstruction of Clostridium ljungdahlii
Published in
Microbial Cell Factories, November 2013
DOI 10.1186/1475-2859-12-118
Pubmed ID
Authors

Harish Nagarajan, Merve Sahin, Juan Nogales, Haythem Latif, Derek R Lovley, Ali Ebrahim, Karsten Zengler

Abstract

The metabolic capabilities of acetogens to ferment a wide range of sugars, to grow autotrophically on H2/CO2, and more importantly on synthesis gas (H2/CO/CO2) make them very attractive candidates as production hosts for biofuels and biocommodities. Acetogenic metabolism is considered one of the earliest modes of bacterial metabolism. A thorough understanding of various factors governing the metabolism, in particular energy conservation mechanisms, is critical for metabolic engineering of acetogens for targeted production of desired chemicals.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 324 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Germany 3 <1%
Indonesia 1 <1%
France 1 <1%
Australia 1 <1%
Portugal 1 <1%
New Zealand 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Other 1 <1%
Unknown 309 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 93 29%
Researcher 64 20%
Student > Master 44 14%
Student > Bachelor 31 10%
Student > Doctoral Student 10 3%
Other 36 11%
Unknown 46 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 80 25%
Biochemistry, Genetics and Molecular Biology 65 20%
Engineering 34 10%
Chemical Engineering 27 8%
Environmental Science 22 7%
Other 32 10%
Unknown 64 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 April 2022.
All research outputs
#3,062,763
of 23,523,017 outputs
Outputs from Microbial Cell Factories
#124
of 1,658 outputs
Outputs of similar age
#36,060
of 308,018 outputs
Outputs of similar age from Microbial Cell Factories
#5
of 44 outputs
Altmetric has tracked 23,523,017 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,658 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 92% 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 308,018 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 87% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.