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Selection of RNA aptamers specific to active prostate-specific antigen

Overview of attention for article published in Biotechnology Techniques, November 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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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4 patents
wikipedia
4 Wikipedia pages

Citations

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33 Dimensions

Readers on

mendeley
57 Mendeley
Title
Selection of RNA aptamers specific to active prostate-specific antigen
Published in
Biotechnology Techniques, November 2009
DOI 10.1007/s10529-009-0168-1
Pubmed ID
Authors

Sujin Jeong, Seung Ryul Han, Young Ju Lee, Seong-Wook Lee

Abstract

A counter-SELEX procedure with recombinant purified active prostate specific antigen (PSA) was used to identify specific RNA aptamers against the active PSA. We developed two different kinds of counter-SELEX methods; one includes pre-clearance step with inactive proPSA protein, and the other with tagged GST protein. After 9 iterative selection cycles, several identical RNA aptamers can be identified from both counter-SELEX methods. Real-time PCR analysis and gel retardation experiment showed that the aptamers have a specific binding activity against the active PSA, but not for GST or proPSA. These aptamers could be of potential use as specific diagnostic, imaging and/or therapeutic agents against prostate cancer.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
China 1 2%
Unknown 55 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 25%
Student > Ph. D. Student 12 21%
Student > Master 6 11%
Professor > Associate Professor 4 7%
Other 3 5%
Other 8 14%
Unknown 10 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 26%
Chemistry 11 19%
Biochemistry, Genetics and Molecular Biology 8 14%
Engineering 5 9%
Medicine and Dentistry 1 2%
Other 3 5%
Unknown 14 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 19 March 2019.
All research outputs
#3,798,287
of 25,371,288 outputs
Outputs from Biotechnology Techniques
#97
of 2,762 outputs
Outputs of similar age
#18,558
of 177,835 outputs
Outputs of similar age from Biotechnology Techniques
#2
of 10 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,762 research outputs from this source. They receive a mean Attention Score of 3.9. 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 177,835 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 87% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.