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X Demographics
Mendeley readers
Attention Score in Context
| Title |
New cell line development for antibody-producing Chinese hamster ovary cells using split green fluorescent protein
|
|---|---|
| Published in |
BMC Biotechnology, May 2012
|
| DOI | 10.1186/1472-6750-12-24 |
| Pubmed ID | |
| Authors |
Yeon-Gu Kim, Byoungwoo Park, Jung Oh Ahn, Joon-Ki Jung, Hong Weon Lee, Eun Gyo Lee |
| Abstract |
The establishment of high producer is an important issue in Chinese hamster ovary (CHO) cell culture considering increased heterogeneity by the random integration of a transfected foreign gene and the altered position of the integrated gene. Fluorescence-activated cell sorting (FACS)-based cell line development is an efficient strategy for the selection of CHO cells in high therapeutic protein production. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Italy | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| United States | 2 | 2% |
| Switzerland | 1 | 1% |
| Denmark | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 84 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 32% |
| Student > Ph. D. Student | 14 | 15% |
| Student > Bachelor | 9 | 10% |
| Student > Master | 9 | 10% |
| Other | 6 | 7% |
| Other | 10 | 11% |
| Unknown | 14 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 43% |
| Biochemistry, Genetics and Molecular Biology | 20 | 22% |
| Engineering | 7 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 5% |
| Computer Science | 1 | 1% |
| Other | 3 | 3% |
| Unknown | 16 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 21 March 2024.
All research outputs
#3,734,188
of 25,611,630 outputs
Outputs from BMC Biotechnology
#160
of 986 outputs
Outputs of similar age
#23,788
of 176,769 outputs
Outputs of similar age from BMC Biotechnology
#4
of 17 outputs
Altmetric has tracked 25,611,630 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 986 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 83% 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 176,769 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.