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Integration of Aspergillus niger transcriptomic profile with metabolic model identifies potential targets to optimise citric acid production from lignocellulosic hydrolysate

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, January 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Integration of Aspergillus niger transcriptomic profile with metabolic model identifies potential targets to optimise citric acid production from lignocellulosic hydrolysate
Published in
Biotechnology for Biofuels and Bioproducts, January 2022
DOI 10.1186/s13068-021-02099-2
Pubmed ID
Authors

Daniel J. Upton, Mehak Kaushal, Caragh Whitehead, Laura Faas, Leonardo D. Gomez, Simon J. McQueen-Mason, Shireesh Srivastava, A. Jamie Wood

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 14%
Other 1 5%
Lecturer 1 5%
Unspecified 1 5%
Student > Bachelor 1 5%
Other 3 14%
Unknown 11 52%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 19%
Biochemistry, Genetics and Molecular Biology 2 10%
Chemical Engineering 1 5%
Business, Management and Accounting 1 5%
Unspecified 1 5%
Other 2 10%
Unknown 10 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 March 2022.
All research outputs
#7,658,506
of 23,314,015 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#543
of 1,468 outputs
Outputs of similar age
#173,099
of 511,354 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#4
of 20 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,468 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 54% 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 511,354 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 63% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.