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Modelling overflow metabolism in Escherichia coli with flux balance analysis incorporating differential proteomic efficiencies of energy pathways

Overview of attention for article published in BMC Systems Biology, January 2019
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Mentioned by

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2 X users

Citations

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32 Dimensions

Readers on

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111 Mendeley
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Title
Modelling overflow metabolism in Escherichia coli with flux balance analysis incorporating differential proteomic efficiencies of energy pathways
Published in
BMC Systems Biology, January 2019
DOI 10.1186/s12918-018-0677-4
Pubmed ID
Authors

Hong Zeng, Aidong Yang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 18%
Student > Ph. D. Student 19 17%
Student > Bachelor 18 16%
Student > Master 13 12%
Student > Postgraduate 6 5%
Other 12 11%
Unknown 23 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 33%
Agricultural and Biological Sciences 15 14%
Engineering 6 5%
Computer Science 4 4%
Chemical Engineering 4 4%
Other 15 14%
Unknown 30 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 January 2019.
All research outputs
#18,154,932
of 23,322,258 outputs
Outputs from BMC Systems Biology
#772
of 1,143 outputs
Outputs of similar age
#306,751
of 439,332 outputs
Outputs of similar age from BMC Systems Biology
#23
of 39 outputs
Altmetric has tracked 23,322,258 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,143 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 26th percentile – i.e., 26% 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 439,332 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.