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Microbial rhamnolipid production: a critical re-evaluation of published data and suggested future publication criteria

Overview of attention for article published in Applied Microbiology and Biotechnology, April 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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2 X users
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212 Mendeley
Title
Microbial rhamnolipid production: a critical re-evaluation of published data and suggested future publication criteria
Published in
Applied Microbiology and Biotechnology, April 2017
DOI 10.1007/s00253-017-8262-0
Pubmed ID
Authors

Victor U. Irorere, Lakshmi Tripathi, Roger Marchant, Stephen McClean, Ibrahim M. Banat

Abstract

High production cost and potential pathogenicity of Pseudomonas aeruginosa, commonly used for rhamnolipid synthesis, have led to extensive research for safer producing strains and cost-effective production methods. This has resulted in numerous research publications claiming new non-pathogenic producing strains and novel production techniques many of which are unfortunately without proper characterisation of product and/or producing strain/s. Genes responsible for rhamnolipid production have only been confirmed in P. aeruginosa, Burkholderia thailandensis and Burkholderia pseudomallei. Comparing yields in different publications is also generally unreliable especially when different methodologies were used for rhamnolipid quantification. After reviewing the literature in this area, we strongly feel that numerous research outputs have insufficient evidence to support claims of rhamnolipid-producing strains and/or yields. We therefore recommend that standards should be set for reporting new rhamnolipid-producing strains and production yields. These should include (1) molecular and bioinformatic tools to fully characterise new microbial isolates and confirm the presence of the rhamnolipid rhl genes for all bacterial strains, (2) using gravimetric methods to quantify crude yields and (3) use of a calibrated method (high-performance liquid chromatography or ultra-performance liquid chromatography) for absolute quantitative yield determination.

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 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 211 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 16%
Researcher 32 15%
Student > Ph. D. Student 31 15%
Student > Bachelor 27 13%
Student > Doctoral Student 16 8%
Other 25 12%
Unknown 47 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 22%
Biochemistry, Genetics and Molecular Biology 45 21%
Immunology and Microbiology 16 8%
Environmental Science 11 5%
Chemical Engineering 9 4%
Other 30 14%
Unknown 54 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 April 2020.
All research outputs
#7,307,222
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#2,480
of 8,034 outputs
Outputs of similar age
#110,800
of 313,147 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#23
of 103 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 68% 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 313,147 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 64% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.