You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Designing and Testing the Activities of TAL Effector Nucleases.
|
|---|---|
| Chapter number | 13 |
| Book title |
Gene Correction
|
| Published in |
Methods in molecular biology, February 2014
|
| DOI | 10.1007/978-1-62703-761-7_13 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-760-0, 978-1-62703-761-7
|
| Authors |
Lin Y, Cradick TJ, Bao G, Yanni Lin, Thomas J. Cradick, Gang Bao, Lin, Yanni, Cradick, Thomas J., Bao, Gang |
| Abstract |
Transcription activator-like effector nucleases (TALENs) have rapidly developed into a powerful tool for genome editing. To avoid labor-intensive and time-consuming experimental screening for active TALENs, a scoring system can help select optimal target sites. Here we describe a procedure to design active TALENs using a scoring system named Scoring Algorithm for Predicted TALEN Activity (SAPTA) and a method to test the activity of individual and pairs of TALENs. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 9% |
| South Africa | 1 | 9% |
| Unknown | 9 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 27% |
| Researcher | 3 | 27% |
| Other | 2 | 18% |
| Professor | 1 | 9% |
| Student > Master | 1 | 9% |
| Other | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 45% |
| Biochemistry, Genetics and Molecular Biology | 3 | 27% |
| Economics, Econometrics and Finance | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Neuroscience | 1 | 9% |
| Other | 0 | 0% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 10 October 2014.
All research outputs
#20,238,443
of 22,765,347 outputs
Outputs from Methods in molecular biology
#9,865
of 13,090 outputs
Outputs of similar age
#193,594
of 225,081 outputs
Outputs of similar age from Methods in molecular biology
#83
of 143 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 225,081 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.