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An improved method suitable for isolation of high-quality metagenomic DNA from diverse soils

Overview of attention for article published in 3 Biotech, June 2017
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  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

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Citations

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Readers on

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138 Mendeley
Title
An improved method suitable for isolation of high-quality metagenomic DNA from diverse soils
Published in
3 Biotech, June 2017
DOI 10.1007/s13205-017-0847-x
Pubmed ID
Authors

Sumit Kumar Verma, Himanshi Singh, Prakash C. Sharma

Abstract

Standardization of metagenomic DNA extraction protocol is a pre-requisite for a successful metagenomic study aiming to screen and exploit the variety of microorganisms inhabiting a particular soil environment. Six methods reported earlier were used for isolation of metagenomic DNA in the present study. These methods suffered with regard to either poor yield or quality of DNA. Therefore, we developed an improved method for isolation of high-molecular weight and good quality metagenomic DNA from different soil samples. Our protocol combines the enzymatic (lysozyme and proteinase K) and chemical (CTAB and CaCl2) strategies to ensure efficient cell lysis and use of PEG and isopropanol for precipitation of humic impurities-free DNA. Our improved method gave high yield of good quality metagenomic DNA from diverse soils collected from garden, domestic waste dumping site, cellulose waste dumping site, sewage site, and tannery waste site. The good quality of the metagenomic DNA was evident by spectrophotometry data, PCR amplification of 16S rRNA gene and restriction digestion.

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The data shown below were collected from the profiles of 5 X users 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 138 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 17%
Researcher 19 14%
Student > Bachelor 14 10%
Student > Ph. D. Student 12 9%
Student > Doctoral Student 10 7%
Other 15 11%
Unknown 44 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 27%
Agricultural and Biological Sciences 33 24%
Environmental Science 6 4%
Engineering 3 2%
Immunology and Microbiology 3 2%
Other 9 7%
Unknown 47 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 2023.
All research outputs
#14,691,575
of 25,516,314 outputs
Outputs from 3 Biotech
#298
of 1,437 outputs
Outputs of similar age
#162,026
of 328,605 outputs
Outputs of similar age from 3 Biotech
#24
of 87 outputs
Altmetric has tracked 25,516,314 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,437 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 78% 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 328,605 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 87 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.