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Attention Score in Context
Chapter title |
Selection of High-Producing Clones Using FACS for CHO Cell Line Development
|
---|---|
Chapter number | 9 |
Book title |
Heterologous Protein Production in CHO Cells
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6972-2_9 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6971-5, 978-1-4939-6972-2
|
Authors |
Clair Gallagher, Paul S. Kelly, Gallagher, Clair, Kelly, Paul S. |
Editors |
Paula Meleady |
Abstract |
Cell line development aims to generate and select clones with desirable characteristics. One of the most important parameters for biopharmaceutical cell selection is cell-specific productivity (Qp) or the quantity of product produced per cell per day. Fluorescence-activated cell sorting (FACS) is a powerful, high-throughput technique that facilitates multiparametric characterization and isolation of individual cell clones from heterogeneous populations. Here, we describe a FACS-based method for section of high-producing CHO cell clones. |
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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 6 | 19% |
Student > Ph. D. Student | 6 | 19% |
Researcher | 4 | 13% |
Other | 3 | 10% |
Student > Doctoral Student | 2 | 6% |
Other | 3 | 10% |
Unknown | 7 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 13 | 42% |
Agricultural and Biological Sciences | 4 | 13% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
Engineering | 2 | 6% |
Unspecified | 1 | 3% |
Other | 0 | 0% |
Unknown | 9 | 29% |
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 04 March 2022.
All research outputs
#15,659,831
of 23,269,984 outputs
Outputs from Methods in molecular biology
#5,479
of 13,322 outputs
Outputs of similar age
#258,675
of 422,567 outputs
Outputs of similar age from Methods in molecular biology
#471
of 1,076 outputs
Altmetric has tracked 23,269,984 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 13,322 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,076 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.