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Nested Genetic Bit Analysis (N-GBA) for Mutation Detection in the p53 Tumor Suppressor Gene

Overview of attention for article published in Nucleic Acids Research, December 1997
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

patent
30 patents

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6 Mendeley
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Article details
Title
Nested Genetic Bit Analysis (N-GBA) for Mutation Detection in the p53 Tumor Suppressor Gene
Published in
Nucleic Acids Research, December 1997
DOI 10.1093/nar/25.24.5065
Pubmed ID
Authors
Abstract

There is a growing and significant demand for reliable, simple and sensitive methods for repeated scanning of a given gene or gene fragment for detection and characterization of mutations. Solid-phase sequencing by single base primer extension of nested GBATM primers on miniaturized DNA arrays can be used to effectively scan targeted sequences for missense, insertion and deletion mutations. This paper describes the use of N-GBA arrays designed to scan the sequence of a 33 base region of exon 8 of the p53 gene (codons 272-282) encompassing a hot spot for mutations associated with the development of cancer. Synthetic DNA templates containing various missense, insertion and deletion mutations, as well as DNA prepared from pancreatic and biliary tumor cells, were genotyped using the exon 8 arrays.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor > Associate Professor 2 33%
Researcher 1 17%
Unknown 1 17%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 3 50%
Biochemistry, Genetics and Molecular Biology 1 17%
Chemistry 1 17%
Unknown 1 17%
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 09 March 2016.
All research outputs
#3,892,502
of 25,838,141 outputs
Outputs from Nucleic Acids Research
#5,418
of 27,743 outputs
Outputs of similar age
#4,589
of 95,429 outputs
Outputs of similar age from Nucleic Acids Research
#16
of 138 outputs
Altmetric has tracked 25,838,141 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 27,743 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 76% 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 95,429 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 138 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 73% of its contemporaries.