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DNA watermarks in non-coding regulatory sequences

Overview of attention for article published in BMC Research Notes, July 2009
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
29 Mendeley
citeulike
1 CiteULike
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Title
DNA watermarks in non-coding regulatory sequences
Published in
BMC Research Notes, July 2009
DOI 10.1186/1756-0500-2-125
Pubmed ID
Authors

Dominik Heider, Martin Pyka, Angelika Barnekow

Abstract

DNA watermarks can be applied to identify the unauthorized use of genetically modified organisms. It has been shown that coding regions can be used to encrypt information into living organisms by using the DNA-Crypt algorithm. Yet, if the sequence of interest presents a non-coding DNA sequence, either the function of a resulting functional RNA molecule or a regulatory sequence, such as a promoter, could be affected. For our studies we used the small cytoplasmic RNA 1 in yeast and the lac promoter region of Escherichia coli.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 7%
United States 1 3%
South Africa 1 3%
Unknown 25 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 28%
Student > Ph. D. Student 7 24%
Student > Master 4 14%
Other 1 3%
Lecturer > Senior Lecturer 1 3%
Other 2 7%
Unknown 6 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 34%
Biochemistry, Genetics and Molecular Biology 5 17%
Computer Science 3 10%
Chemical Engineering 1 3%
Psychology 1 3%
Other 1 3%
Unknown 8 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 December 2009.
All research outputs
#4,801,845
of 25,374,917 outputs
Outputs from BMC Research Notes
#718
of 4,513 outputs
Outputs of similar age
#19,976
of 121,712 outputs
Outputs of similar age from BMC Research Notes
#5
of 20 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 84% 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 121,712 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.