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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Protein Expression in Mammalian Cells
|
|---|---|
| Chapter number | 14 |
| Book title |
Protein Expression in Mammalian Cells
|
| Published in |
Methods in molecular biology, September 2011
|
| DOI | 10.1007/978-1-61779-352-3_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-61779-351-6, 978-1-61779-352-3
|
| Authors |
Kunert R, Vorauer-Uhl K, Renate Kunert, Karola Vorauer-Uhl, Kunert, Renate, Vorauer-Uhl, Karola |
| Editors |
James L Hartley |
| Abstract |
Stable cell lines of Chinese hamster ovary (CHO) cells are the predominant source of commercial -biopharmaceutical proteins. Because making suitable CHO cell lines is time-consuming and costly, -preliminary experiments with transient expression are usually performed to optimize as many protein -production parameters as possible. Here, we describe protocols for optimizing expression in transient expression experiments and isolating stable CHO cell lines using two types of self-made reagents, namely, lipoplexes and polyplexes. |
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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 27% |
| Student > Ph. D. Student | 9 | 15% |
| Researcher | 7 | 12% |
| Student > Bachelor | 7 | 12% |
| Professor | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 13 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 25 | 42% |
| Agricultural and Biological Sciences | 8 | 13% |
| Engineering | 4 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Immunology and Microbiology | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 13 | 22% |
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 02 August 2023.
All research outputs
#22,149,778
of 24,716,872 outputs
Outputs from Methods in molecular biology
#10,687
of 13,880 outputs
Outputs of similar age
#118,803
of 128,995 outputs
Outputs of similar age from Methods in molecular biology
#31
of 32 outputs
Altmetric has tracked 24,716,872 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,880 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 32 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.