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Strategies for Fermentation Medium Optimization: An In-Depth Review

Overview of attention for article published in Frontiers in Microbiology, January 2017
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

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3 X users
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2 Wikipedia pages

Citations

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393 Dimensions

Readers on

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1045 Mendeley
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Title
Strategies for Fermentation Medium Optimization: An In-Depth Review
Published in
Frontiers in Microbiology, January 2017
DOI 10.3389/fmicb.2016.02087
Pubmed ID
Authors

Vineeta Singh, Shafiul Haque, Ram Niwas, Akansha Srivastava, Mukesh Pasupuleti, C K M Tripathi

Abstract

Optimization of production medium is required to maximize the metabolite yield. This can be achieved by using a wide range of techniques from classical "one-factor-at-a-time" to modern statistical and mathematical techniques, viz. artificial neural network (ANN), genetic algorithm (GA) etc. Every technique comes with its own advantages and disadvantages, and despite drawbacks some techniques are applied to obtain best results. Use of various optimization techniques in combination also provides the desirable results. In this article an attempt has been made to review the currently used media optimization techniques applied during fermentation process of metabolite production. Comparative analysis of the merits and demerits of various conventional as well as modern optimization techniques have been done and logical selection basis for the designing of fermentation medium has been given in the present review. Overall, this review will provide the rationale for the selection of suitable optimization technique for media designing employed during the fermentation process of metabolite production.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,045 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 <1%
Germany 1 <1%
Thailand 1 <1%
Unknown 1042 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 143 14%
Student > Bachelor 136 13%
Student > Ph. D. Student 134 13%
Researcher 92 9%
Student > Doctoral Student 43 4%
Other 112 11%
Unknown 385 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 185 18%
Agricultural and Biological Sciences 152 15%
Immunology and Microbiology 58 6%
Engineering 57 5%
Chemical Engineering 52 5%
Other 124 12%
Unknown 417 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 23 April 2024.
All research outputs
#6,324,512
of 22,925,760 outputs
Outputs from Frontiers in Microbiology
#6,258
of 24,972 outputs
Outputs of similar age
#118,701
of 420,293 outputs
Outputs of similar age from Frontiers in Microbiology
#182
of 394 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 24,972 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 74% 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 420,293 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 71% of its contemporaries.
We're also able to compare this research output to 394 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.