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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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Mentioned by

twitter
1 tweeter

Citations

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115 Dimensions

Readers on

mendeley
150 Mendeley
Summary Twitter Dimensions 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
19105837
Authors

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

View on publisher site

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 150 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 144 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 24%
Student > Bachelor 24 16%
Researcher 16 11%
Student > Master 13 9%
Student > Doctoral Student 13 9%
Other 27 18%
Unknown 21 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 22%
Engineering 26 17%
Biochemistry, Genetics and Molecular Biology 17 11%
Chemical Engineering 10 7%
Chemistry 8 5%
Other 28 19%
Unknown 28 19%

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 06 September 2022.
All research outputs
#15,665,271
of 23,275,636 outputs
Outputs from BMC Biotechnology
#677
of 945 outputs
Outputs of similar age
#143,271
of 170,637 outputs
Outputs of similar age from BMC Biotechnology
#18
of 19 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 945 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 21st percentile – i.e., 21% 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 170,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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