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Mendeley readers
Attention Score in Context
| Chapter title |
TAL Effector Nuclease (TALEN) Engineering.
|
|---|---|
| Chapter number | 5 |
| Book title |
Enzyme Engineering
|
| Published in |
Methods in molecular biology, February 2013
|
| DOI | 10.1007/978-1-62703-293-3_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-292-6, 978-1-62703-293-3
|
| Authors |
Li T, Yang B, Ting Li, Bing Yang, Li, Ting, Yang, Bing |
| Abstract |
TALENs, fusion proteins of DNA binding domains of TAL (transcription activator-like) effectors and the DNA cleavage domains of endonuclease FokI, have emerged as genetic tools for targeted gene modification, holding great potential for basic and applied research, even for gene therapy. Here we present a simple and efficient approach to custom-engineering TALEN genes with four basic TAL repeats and their DNA recognition cipher. The "modular assembly" method also involves the "Golden Gate" cloning strategy, using 53 ready-to-use plasmids in just two rounds of restriction and ligation to assemble TALENs with up to 24 repeat units that recognize up to 24 bp of target DNA. |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 53 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 26% |
| Student > Ph. D. Student | 11 | 20% |
| Student > Bachelor | 6 | 11% |
| Student > Master | 5 | 9% |
| Professor > Associate Professor | 4 | 7% |
| Other | 9 | 17% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 48% |
| Biochemistry, Genetics and Molecular Biology | 15 | 28% |
| Medicine and Dentistry | 3 | 6% |
| Immunology and Microbiology | 2 | 4% |
| Materials Science | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 7 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 18 March 2015.
All research outputs
#5,876,115
of 22,796,179 outputs
Outputs from Methods in molecular biology
#1,710
of 13,111 outputs
Outputs of similar age
#47,992
of 193,108 outputs
Outputs of similar age from Methods in molecular biology
#7
of 39 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13,111 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 86% 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 193,108 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 75% of its contemporaries.
We're also able to compare this research output to 39 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.