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The CRISPRdb database and tools to display CRISPRs and to generate dictionaries of spacers and repeats

Overview of attention for article published in BMC Bioinformatics, January 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
patent
3 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
668 Dimensions

Readers on

mendeley
706 Mendeley
citeulike
4 CiteULike
connotea
1 Connotea
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Title
The CRISPRdb database and tools to display CRISPRs and to generate dictionaries of spacers and repeats
Published in
BMC Bioinformatics, January 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 706 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 2%
United Kingdom 5 <1%
France 4 <1%
Netherlands 2 <1%
Denmark 2 <1%
Germany 2 <1%
New Zealand 2 <1%
Sweden 1 <1%
Brazil 1 <1%
Other 6 <1%
Unknown 669 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 170 24%
Researcher 118 17%
Student > Bachelor 117 17%
Student > Master 115 16%
Student > Doctoral Student 36 5%
Other 91 13%
Unknown 59 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 315 45%
Biochemistry, Genetics and Molecular Biology 186 26%
Immunology and Microbiology 32 5%
Computer Science 23 3%
Medicine and Dentistry 15 2%
Other 61 9%
Unknown 74 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 September 2016.
All research outputs
#808,717
of 14,468,595 outputs
Outputs from BMC Bioinformatics
#173
of 5,407 outputs
Outputs of similar age
#12,519
of 192,603 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 12 outputs
Altmetric has tracked 14,468,595 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,407 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 96% 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 192,603 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 12 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 91% of its contemporaries.