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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Generation of gene disruptions by transcription activator-like effector nucleases (TALENs) in Xenopus tropicalis embryos
|
|---|---|
| Published in |
Cell & Bioscience, May 2013
|
| DOI | 10.1186/2045-3701-3-21 |
| Pubmed ID | |
| Authors |
Yong Lei, Xiaogang Guo, Yi Deng, Yonglong Chen, Hui Zhao |
| Abstract |
Transcription activator-like effector nucleases (TALENs) are novel engineered DNA nucleases, and have been proven to be effective for gene specific targeting in various species. Recently we reported gene disruptions in Xenopus embryos by using TALENs. Here we summarize the protocol that is used in our studies for gene disruption. This protocol covers selection of TALEN targeting sites, TALEN assembly with a modified Golden Gate method, and injection of TALEN mRNAs into Xenopus tropicalis embryos. We also provide details for detection of somatic and germ line transmitted mutations. And finally, we briefly describe establishment of knockout Xenopus lines. This protocol will facilitate broader applications of TALENs in studies of Xenopus biology. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 52 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 30% |
| Researcher | 9 | 17% |
| Student > Bachelor | 6 | 11% |
| Student > Master | 6 | 11% |
| Student > Doctoral Student | 3 | 6% |
| Other | 5 | 9% |
| Unknown | 8 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 45% |
| Biochemistry, Genetics and Molecular Biology | 10 | 19% |
| Medicine and Dentistry | 3 | 6% |
| Engineering | 2 | 4% |
| Neuroscience | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 8 | 15% |
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 03 January 2023.
All research outputs
#7,197,255
of 23,477,147 outputs
Outputs from Cell & Bioscience
#160
of 995 outputs
Outputs of similar age
#59,962
of 195,073 outputs
Outputs of similar age from Cell & Bioscience
#3
of 4 outputs
Altmetric has tracked 23,477,147 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 995 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 82% 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 195,073 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 67% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.