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Optimization of heterologous protein production in Chinese hamster ovary cells under overexpression of spliced form of human X-box binding protein

Overview of attention for article published in BMC Biotechnology, April 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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1 X user
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2 patents

Citations

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19 Dimensions

Readers on

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64 Mendeley
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Title
Optimization of heterologous protein production in Chinese hamster ovary cells under overexpression of spliced form of human X-box binding protein
Published in
BMC Biotechnology, April 2014
DOI 10.1186/1472-6750-14-26
Pubmed ID
Authors

Galina Gulis, Kelly Cristina Rodrigues Simi, Renata Rodrigues de Toledo, Andrea Queiroz Maranhao, Marcelo Macedo Brigido

Abstract

The optimization of protein production is a complex and challenging problem in biotechnology. Different techniques for transcription, translation engineering and the optimization of cell culture conditions have been used to improve protein secretion, but there remain many open problems involving post-translational modifications of the secreted protein and cell line stability.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Unknown 62 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 25%
Student > Ph. D. Student 15 23%
Student > Bachelor 9 14%
Student > Master 8 13%
Student > Doctoral Student 3 5%
Other 5 8%
Unknown 8 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 36%
Biochemistry, Genetics and Molecular Biology 18 28%
Chemical Engineering 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Immunology and Microbiology 2 3%
Other 5 8%
Unknown 9 14%
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 30 April 2020.
All research outputs
#6,939,786
of 22,753,345 outputs
Outputs from BMC Biotechnology
#387
of 935 outputs
Outputs of similar age
#67,283
of 226,967 outputs
Outputs of similar age from BMC Biotechnology
#6
of 22 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 935 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 56% 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 226,967 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 69% of its contemporaries.
We're also able to compare this research output to 22 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 63% of its contemporaries.