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Sensitivity of a real-time PCR method for the detection of transgenes in a mixture of transgenic and non-transgenic seeds of papaya (Carica papayaL.)

Overview of attention for article published in BMC Biotechnology, September 2013
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Title
Sensitivity of a real-time PCR method for the detection of transgenes in a mixture of transgenic and non-transgenic seeds of papaya (Carica papayaL.)
Published in
BMC Biotechnology, September 2013
DOI 10.1186/1472-6750-13-69
Pubmed ID
Authors

Madhugiri Nageswara-Rao, Charles Kwit, Sujata Agarwal, Mariah T Patton, Jordan A Skeen, Joshua S Yuan, Richard M Manshardt, C Neal Stewart

Abstract

Genetically engineered (GE) ringspot virus-resistant papaya cultivars 'Rainbow' and 'SunUp' have been grown in Hawai'i for over 10 years. In Hawai'i, the introduction of GE papayas into regions where non-GE cultivars are grown and where feral non-GE papayas exist have been accompanied with concerns associated with transgene flow. Of particular concern is the possibility of transgenic seeds being found in non-GE papaya fruits via cross-pollination. Development of high-throughput methods to reliably detect the adventitious presence of such transgenic material would benefit both the scientific and regulatory communities.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 2%
Bangladesh 1 2%
South Africa 1 2%
Unknown 47 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 20%
Student > Bachelor 9 18%
Student > Doctoral Student 7 14%
Student > Ph. D. Student 4 8%
Student > Master 4 8%
Other 9 18%
Unknown 7 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 56%
Biochemistry, Genetics and Molecular Biology 5 10%
Engineering 4 8%
Environmental Science 1 2%
Veterinary Science and Veterinary Medicine 1 2%
Other 2 4%
Unknown 9 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 September 2013.
All research outputs
#20,202,510
of 22,721,584 outputs
Outputs from BMC Biotechnology
#845
of 935 outputs
Outputs of similar age
#175,675
of 200,186 outputs
Outputs of similar age from BMC Biotechnology
#16
of 17 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 935 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 200,186 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.