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Design and cloning strategies for constructing shRNA expression vectors

Overview of attention for article published in BMC Biotechnology, January 2006
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

patent
8 patents
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
77 Dimensions

Readers on

mendeley
332 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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Title
Design and cloning strategies for constructing shRNA expression vectors
Published in
BMC Biotechnology, January 2006
DOI 10.1186/1472-6750-6-1
Pubmed ID
Authors

Glen J McIntyre, Gregory C Fanning

Abstract

Short hairpin RNA (shRNA) encoded within an expression vector has proven an effective means of harnessing the RNA interference (RNAi) pathway in mammalian cells. A survey of the literature revealed that shRNA vector construction can be hindered by high mutation rates and the ensuing sequencing is often problematic. Current options for constructing shRNA vectors include the use of annealed complementary oligonucleotides (74 % of surveyed studies), a PCR approach using hairpin containing primers (22 %) and primer extension of hairpin templates (4 %).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 332 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 3%
India 7 2%
Japan 4 1%
Germany 3 <1%
United Kingdom 3 <1%
France 1 <1%
Austria 1 <1%
Colombia 1 <1%
Portugal 1 <1%
Other 6 2%
Unknown 296 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 116 35%
Researcher 62 19%
Student > Master 31 9%
Student > Bachelor 25 8%
Student > Doctoral Student 23 7%
Other 37 11%
Unknown 38 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 179 54%
Biochemistry, Genetics and Molecular Biology 55 17%
Medicine and Dentistry 23 7%
Neuroscience 15 5%
Immunology and Microbiology 7 2%
Other 15 5%
Unknown 38 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 27 September 2023.
All research outputs
#2,534,010
of 23,313,051 outputs
Outputs from BMC Biotechnology
#78
of 946 outputs
Outputs of similar age
#8,247
of 156,187 outputs
Outputs of similar age from BMC Biotechnology
#2
of 15 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 946 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. 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 156,187 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 94% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.