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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ZFN, TALEN, and CRISPR/Cas-based methods for genome engineering
|
|---|---|
| Published in |
Trends in Biotechnology, May 2013
|
| DOI | 10.1016/j.tibtech.2013.04.004 |
| Pubmed ID | |
| Authors |
Thomas Gaj, Charles A. Gersbach, Carlos F. Barbas |
| Abstract |
Zinc-finger nucleases (ZFNs) and transcription activator-like effector nucleases (TALENs) comprise a powerful class of tools that are redefining the boundaries of biological research. These chimeric nucleases are composed of programmable, sequence-specific DNA-binding modules linked to a nonspecific DNA cleavage domain. ZFNs and TALENs enable a broad range of genetic modifications by inducing DNA double-strand breaks that stimulate error-prone nonhomologous end joining or homology-directed repair at specific genomic locations. Here, we review achievements made possible by site-specific nuclease technologies and discuss applications of these reagents for genetic analysis and manipulation. In addition, we highlight the therapeutic potential of ZFNs and TALENs and discuss future prospects for the field, including the emergence of clustered regulatory interspaced short palindromic repeat (CRISPR)/Cas-based RNA-guided DNA endonucleases. |
X Demographics
The data shown below were collected from the profiles of 44 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 | 13 | 30% |
| France | 4 | 9% |
| Japan | 2 | 5% |
| Germany | 2 | 5% |
| New Zealand | 1 | 2% |
| United Kingdom | 1 | 2% |
| Portugal | 1 | 2% |
| Russia | 1 | 2% |
| Mexico | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 15 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 52% |
| Scientists | 16 | 36% |
| Science communicators (journalists, bloggers, editors) | 4 | 9% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 6,840 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 71 | 1% |
| Germany | 33 | <1% |
| United Kingdom | 23 | <1% |
| France | 16 | <1% |
| Japan | 14 | <1% |
| Portugal | 10 | <1% |
| Canada | 10 | <1% |
| Denmark | 9 | <1% |
| India | 9 | <1% |
| Other | 94 | 1% |
| Unknown | 6551 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1421 | 21% |
| Student > Bachelor | 1168 | 17% |
| Researcher | 1071 | 16% |
| Student > Master | 1036 | 15% |
| Student > Doctoral Student | 274 | 4% |
| Other | 840 | 12% |
| Unknown | 1030 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2763 | 40% |
| Biochemistry, Genetics and Molecular Biology | 1765 | 26% |
| Medicine and Dentistry | 291 | 4% |
| Engineering | 146 | 2% |
| Neuroscience | 144 | 2% |
| Other | 583 | 9% |
| Unknown | 1148 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 149. 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 16 April 2024.
All research outputs
#280,982
of 25,837,817 outputs
Outputs from Trends in Biotechnology
#12
of 2,877 outputs
Outputs of similar age
#1,850
of 207,476 outputs
Outputs of similar age from Trends in Biotechnology
#1
of 25 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,877 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done particularly well, scoring higher than 99% 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 207,476 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.