↓ Skip to main content

Molecular characterization of Bacillus thuringiensis using rep-PCR

Overview of attention for article published in SpringerPlus, November 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
44 Mendeley
Title
Molecular characterization of Bacillus thuringiensis using rep-PCR
Published in
SpringerPlus, November 2013
DOI 10.1186/2193-1801-2-641
Pubmed ID
Authors

Rosane Bezerra da Silva, Fernando Hercos Valicente

Abstract

The genetic divergence of 65 strains of Bacillus thuringiensis (Bt) was determined using Rep-PCR. Based on the repetitive sequences the BOX primer was the most informative with 26 fragments, followed by ERIC (19) and REP (10), generating a total of 55 fragments. The dendogram shows that ten groups were formed when 45% was the average distance of the population: group 1 with 41,5% of the isolates, 33,8% of the isolates were distributed in other groups and 24,6% did not formed distinct group. 53,2% of the isolates from Embrapa are in the group 1, and 29,8% of the isolates are distributed in other groups. Bt strains from USDA and Institute Pasteur showed more variability.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 25%
Student > Master 10 23%
Student > Postgraduate 5 11%
Researcher 4 9%
Student > Doctoral Student 3 7%
Other 5 11%
Unknown 6 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 57%
Biochemistry, Genetics and Molecular Biology 7 16%
Immunology and Microbiology 2 5%
Environmental Science 1 2%
Engineering 1 2%
Other 0 0%
Unknown 8 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 30 November 2013.
All research outputs
#18,355,685
of 22,733,113 outputs
Outputs from SpringerPlus
#1,261
of 1,853 outputs
Outputs of similar age
#231,984
of 306,996 outputs
Outputs of similar age from SpringerPlus
#84
of 96 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,853 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 21st percentile – i.e., 21% 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 306,996 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.