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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Genome Editing in Mice Using TALE Nucleases.
|
|---|---|
| Chapter number | 17 |
| Book title |
TALENs
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-2932-0_17 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2931-3, 978-1-4939-2932-0
|
| Authors |
Wefers, Benedikt, Brandl, Christina, Ortiz, Oskar, Wurst, Wolfgang, Kühn, Ralf, Benedikt Wefers, Christina Brandl, Oskar Ortiz, Wolfgang Wurst, Ralf Kühn |
| Abstract |
Gene engineering for generating targeted mouse mutants is a key technology for biomedical research. Using TALENs as sequence-specific nucleases to induce targeted double-strand breaks, the mouse genome can be directly modified in zygotes in a single step without the need for embryonic stem cells. By embryo microinjection of TALEN mRNAs and targeting vectors, knockout and knock-in alleles can be generated fast and efficiently. In this chapter we provide protocols for the application of TALENs in mouse zygotes. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 13% |
| Unknown | 7 | 88% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Unknown | 7 | 88% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 July 2016.
All research outputs
#13,957,299
of 22,829,683 outputs
Outputs from Methods in molecular biology
#3,932
of 13,125 outputs
Outputs of similar age
#199,558
of 393,540 outputs
Outputs of similar age from Methods in molecular biology
#386
of 1,470 outputs
Altmetric has tracked 22,829,683 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,125 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 68% 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 393,540 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.