↓ Skip to main content

Probabilistic models for CRISPR spacer content evolution

Overview of attention for article published in BMC Ecology and Evolution, February 2013
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
81 Mendeley
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.
Title
Probabilistic models for CRISPR spacer content evolution
Published in
BMC Ecology and Evolution, February 2013
DOI 10.1186/1471-2148-13-54
Pubmed ID
Authors

Anne Kupczok, Jonathan P Bollback

Abstract

The CRISPR/Cas system is known to act as an adaptive and heritable immune system in Eubacteria and Archaea. Immunity is encoded in an array of spacer sequences. Each spacer can provide specific immunity to invasive elements that carry the same or a similar sequence. Even in closely related strains, spacer content is very dynamic and evolves quickly. Standard models of nucleotide evolution cannot be applied to quantify its rate of change since processes other than single nucleotide changes determine its evolution.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 1%
Denmark 1 1%
Unknown 77 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 33%
Researcher 16 20%
Student > Master 9 11%
Student > Bachelor 5 6%
Student > Doctoral Student 5 6%
Other 14 17%
Unknown 5 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 48%
Biochemistry, Genetics and Molecular Biology 22 27%
Physics and Astronomy 5 6%
Computer Science 3 4%
Immunology and Microbiology 2 2%
Other 4 5%
Unknown 6 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 November 2018.
All research outputs
#7,355,005
of 25,371,288 outputs
Outputs from BMC Ecology and Evolution
#1,676
of 3,714 outputs
Outputs of similar age
#58,194
of 205,030 outputs
Outputs of similar age from BMC Ecology and Evolution
#27
of 75 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 52% 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 205,030 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 70% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.