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A modeling study by response surface methodology and artificial neural network on culture parameters optimization for thermostable lipase production from a newly isolated thermophilic Geobacillus sp.

Overview of attention for article published in BMC Biotechnology, December 2008
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Citations

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Title
A modeling study by response surface methodology and artificial neural network on culture parameters optimization for thermostable lipase production from a newly isolated thermophilic Geobacillus sp. strain ARM
Published in
BMC Biotechnology, December 2008
DOI 10.1186/1472-6750-8-96
Pubmed ID
Authors

Afshin Ebrahimpour, Raja Noor Zaliha Raja Abd Rahman, Diana Hooi Ean Ch'ng, Mahiran Basri, Abu Bakar Salleh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 2 1%
Spain 2 1%
Japan 1 <1%
Brazil 1 <1%
Unknown 147 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 22%
Student > Bachelor 24 16%
Researcher 18 12%
Student > Master 13 8%
Student > Doctoral Student 12 8%
Other 26 17%
Unknown 27 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 22%
Engineering 23 15%
Biochemistry, Genetics and Molecular Biology 17 11%
Chemical Engineering 10 7%
Chemistry 8 5%
Other 29 19%
Unknown 33 22%