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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Selection and Validation of Spacer Sequences for CRISPR-Cas9 Genome Editing and Transcription Regulation in Bacteria.
|
|---|---|
| Chapter number | 15 |
| Book title |
DNA-Protein Interactions
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-2877-4_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2876-7, 978-1-4939-2877-4
|
| Authors |
Grenier, Frédéric, Lucier, Jean-François, Rodrigue, Sébastien, Frédéric Grenier, Jean-François Lucier, Sébastien Rodrigue |
| Abstract |
RNA-guided Cas9 nucleases derived from clustered regularly interspaced short palindromic repeat (CRISPR)-Cas systems have recently been adapted as sequence-programmable tools for various purposes such as genome editing and transcriptional regulation. A critical aspect of the system is the selection and validation of spacer sequences that allow precise targeting of the guide RNA-Cas9 complex. We describe a procedure involving computational and experimental steps to identify and test potentially interesting spacer sequences in bacterial genomes. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 24% |
| Other | 2 | 12% |
| Professor > Associate Professor | 2 | 12% |
| Student > Master | 2 | 12% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 35% |
| Agricultural and Biological Sciences | 3 | 18% |
| Immunology and Microbiology | 1 | 6% |
| Psychology | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 23 June 2016.
All research outputs
#13,029,069
of 23,070,218 outputs
Outputs from Methods in molecular biology
#3,306
of 13,201 outputs
Outputs of similar age
#165,207
of 354,381 outputs
Outputs of similar age from Methods in molecular biology
#224
of 998 outputs
Altmetric has tracked 23,070,218 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,201 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 74% 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 354,381 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 53% of its contemporaries.
We're also able to compare this research output to 998 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.