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A metabolic model of Lipomyces starkeyi for predicting lipogenesis potential from diverse low-cost substrates

Overview of attention for article published in Biotechnology for Biofuels, July 2021
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
9 Mendeley
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Title
A metabolic model of Lipomyces starkeyi for predicting lipogenesis potential from diverse low-cost substrates
Published in
Biotechnology for Biofuels, July 2021
DOI 10.1186/s13068-021-01997-9
Pubmed ID
Authors

Wei Zhou, Yanan Wang, Junlu Zhang, Man Zhao, Mou Tang, Wenting Zhou, Zhiwei Gong

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Student > Doctoral Student 1 11%
Student > Bachelor 1 11%
Student > Master 1 11%
Researcher 1 11%
Other 0 0%
Unknown 3 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 22%
Agricultural and Biological Sciences 2 22%
Chemical Engineering 1 11%
Medicine and Dentistry 1 11%
Unknown 3 33%

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 02 July 2021.
All research outputs
#15,944,466
of 19,852,973 outputs
Outputs from Biotechnology for Biofuels
#1,003
of 1,364 outputs
Outputs of similar age
#237,703
of 338,217 outputs
Outputs of similar age from Biotechnology for Biofuels
#1
of 1 outputs
Altmetric has tracked 19,852,973 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,364 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 14th percentile – i.e., 14% 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 338,217 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them