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
| Title |
CCTop: An Intuitive, Flexible and Reliable CRISPR/Cas9 Target Prediction Tool
|
|---|---|
| Published in |
PLOS ONE, April 2015
|
| DOI | 10.1371/journal.pone.0124633 |
| Pubmed ID | |
| Authors |
Manuel Stemmer, Thomas Thumberger, Maria del Sol Keyer, Joachim Wittbrodt, Juan L. Mateo |
| Abstract |
Engineering of the CRISPR/Cas9 system has opened a plethora of new opportunities for site-directed mutagenesis and targeted genome modification. Fundamental to this is a stretch of twenty nucleotides at the 5' end of a guide RNA that provides specificity to the bound Cas9 endonuclease. Since a sequence of twenty nucleotides can occur multiple times in a given genome and some mismatches seem to be accepted by the CRISPR/Cas9 complex, an efficient and reliable in silico selection and evaluation of the targeting site is key prerequisite for the experimental success. Here we present the CRISPR/Cas9 target online predictor (CCTop, http://crispr.cos.uni-heidelberg.de) to overcome limitations of already available tools. CCTop provides an intuitive user interface with reasonable default parameters that can easily be tuned by the user. From a given query sequence, CCTop identifies and ranks all candidate sgRNA target sites according to their off-target quality and displays full documentation. CCTop was experimentally validated for gene inactivation, non-homologous end-joining as well as homology directed repair. Thus, CCTop provides the bench biologist with a tool for the rapid and efficient identification of high quality target sites. |
X Demographics
The data shown below were collected from the profiles of 27 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 | 4 | 15% |
| France | 3 | 11% |
| Egypt | 1 | 4% |
| Austria | 1 | 4% |
| Belgium | 1 | 4% |
| Canada | 1 | 4% |
| Venezuela, Bolivarian Republic of | 1 | 4% |
| Spain | 1 | 4% |
| Australia | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 13 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 56% |
| Scientists | 12 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 826 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Chile | 1 | <1% |
| France | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Argentina | 1 | <1% |
| Finland | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 813 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 175 | 21% |
| Student > Master | 125 | 15% |
| Researcher | 118 | 14% |
| Student > Bachelor | 115 | 14% |
| Student > Doctoral Student | 34 | 4% |
| Other | 82 | 10% |
| Unknown | 177 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 272 | 33% |
| Agricultural and Biological Sciences | 226 | 27% |
| Medicine and Dentistry | 26 | 3% |
| Immunology and Microbiology | 24 | 3% |
| Neuroscience | 23 | 3% |
| Other | 63 | 8% |
| Unknown | 192 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 07 May 2024.
All research outputs
#1,521,067
of 25,331,507 outputs
Outputs from PLOS ONE
#18,959
of 219,731 outputs
Outputs of similar age
#18,729
of 271,870 outputs
Outputs of similar age from PLOS ONE
#509
of 7,274 outputs
Altmetric has tracked 25,331,507 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 219,731 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 91% 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 271,870 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 93% of its contemporaries.
We're also able to compare this research output to 7,274 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 93% of its contemporaries.