| Title |
The CRISPRdb database and tools to display CRISPRs and to generate dictionaries of spacers and repeats
|
|---|---|
| Published in |
BMC Bioinformatics, May 2007
|
| DOI | 10.1186/1471-2105-8-172 |
| Pubmed ID | |
| Authors |
Ibtissem Grissa, Gilles Vergnaud, Christine Pourcel |
| Abstract |
In Archeae and Bacteria, the repeated elements called CRISPRs for "clustered regularly interspaced short palindromic repeats" are believed to participate in the defence against viruses. Short sequences called spacers are stored in-between repeated elements. In the current model, motifs comprising spacers and repeats may target an invading DNA and lead to its degradation through a proposed mechanism similar to RNA interference. Analysis of intra-species polymorphism shows that new motifs (one spacer and one repeated element) are added in a polarised fashion. Although their principal characteristics have been described, a lot remains to be discovered on the way CRISPRs are created and evolve. As new genome sequences become available it appears necessary to develop automated scanning tools to make available CRISPRs related information and to facilitate additional investigations. |
Mendeley readers
The data shown below were compiled from readership statistics for 908 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 1% |
| United Kingdom | 5 | <1% |
| France | 4 | <1% |
| Germany | 2 | <1% |
| Denmark | 2 | <1% |
| New Zealand | 2 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 6 | <1% |
| Unknown | 872 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 193 | 21% |
| Student > Master | 136 | 15% |
| Student > Bachelor | 134 | 15% |
| Researcher | 131 | 14% |
| Student > Doctoral Student | 37 | 4% |
| Other | 111 | 12% |
| Unknown | 166 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 318 | 35% |
| Biochemistry, Genetics and Molecular Biology | 241 | 27% |
| Immunology and Microbiology | 45 | 5% |
| Computer Science | 25 | 3% |
| Medicine and Dentistry | 16 | 2% |
| Other | 74 | 8% |
| Unknown | 189 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 02 April 2024.
All research outputs
#1,235,790
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#121
of 7,763 outputs
Outputs of similar age
#2,229
of 85,102 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 48 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 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 98% 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 85,102 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 97% of its contemporaries.
We're also able to compare this research output to 48 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 97% of its contemporaries.