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Attention Score in Context
| Title |
Parallel use of shake flask and microtiter plate online measuring devices (RAMOS and BioLector) reduces the number of experiments in laboratory-scale stirred tank bioreactors
|
|---|---|
| Published in |
Journal of Biological Engineering, May 2015
|
| DOI | 10.1186/s13036-015-0005-0 |
| Pubmed ID | |
| Authors |
S. J. Wewetzer, M. Kunze, T. Ladner, B. Luchterhand, S. Roth, N. Rahmen, R. Kloß, A. Costa e Silva, L. Regestein, J. Büchs |
| Abstract |
Conventional experiments in small scale are often performed in a 'Black Box' fashion, analyzing only the product concentration in the final sample. Online monitoring of relevant process characteristics and parameters such as substrate limitation, product inhibition and oxygen supply is lacking. Therefore, fully equipped laboratory-scale stirred tank bioreactors are hitherto required for detailed studies of new microbial systems. However, they are too spacious, laborious and expensive to be operated in larger number in parallel. Thus, the aim of this study is to present a new experimental approach to obtain dense quantitative process information by parallel use of two small-scale culture systems with online monitoring capabilities: Respiration Activity MOnitoring System (RAMOS) and the BioLector device. The same 'mastermix' (medium plus microorganisms) was distributed to the different small-scale culture systems: 1) RAMOS device; 2) 48-well microtiter plate for BioLector device; and 3) separate shake flasks or microtiter plates for offline sampling. By adjusting the same maximum oxygen transfer capacity (OTRmax), the results from the RAMOS and BioLector online monitoring systems supplemented each other very well for all studied microbial systems (E. coli, G. oxydans, K. lactis) and culture conditions (oxygen limitation, diauxic growth, auto-induction, buffer effects). The parallel use of RAMOS and BioLector devices is a suitable and fast approach to gain comprehensive quantitative data about growth and production behavior of the evaluated microorganisms. These acquired data largely reduce the necessary number of experiments in laboratory-scale stirred tank bioreactors for basic process development. Thus, much more quantitative information is obtained in parallel in shorter time. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| China | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 137 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 26% |
| Researcher | 22 | 16% |
| Student > Master | 22 | 16% |
| Student > Bachelor | 12 | 9% |
| Student > Doctoral Student | 9 | 6% |
| Other | 18 | 13% |
| Unknown | 21 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 45 | 32% |
| Agricultural and Biological Sciences | 29 | 21% |
| Engineering | 20 | 14% |
| Chemical Engineering | 7 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 1% |
| Other | 7 | 5% |
| Unknown | 30 | 21% |
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 30 May 2015.
All research outputs
#15,333,633
of 22,807,037 outputs
Outputs from Journal of Biological Engineering
#182
of 260 outputs
Outputs of similar age
#156,881
of 267,111 outputs
Outputs of similar age from Journal of Biological Engineering
#4
of 5 outputs
Altmetric has tracked 22,807,037 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 260 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 22nd percentile – i.e., 22% 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 267,111 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.