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Microbial Metagenomics, Metatranscriptomics, and Metaproteomics

Overview of attention for book
Microbial Metagenomics, Metatranscriptomics, and Metaproteomics
Elsevier
Attention for Chapter: Sample processing and cDNA preparation for microbial metatranscriptomics in complex soil communities.
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Chapter title
Sample processing and cDNA preparation for microbial metatranscriptomics in complex soil communities.
Book title
Microbial Metagenomics, Metatranscriptomics, and Metaproteomics
Published in
Methods in enzymology, January 2013
DOI 10.1016/b978-0-12-407863-5.00013-7
Pubmed ID
Book ISBNs
978-0-12-407863-5
Authors

Lilia C Carvalhais, Peer M Schenk, Lilia C. Carvalhais, Peer M. Schenk

Abstract

Soil presents one of the most complex environments for microbial communities as it provides many microhabitats that allow coexistence of thousands of species with important ecosystem functions. These include biomass and nutrient cycling, mineralization, and detoxification. Culture-independent DNA-based methods, such as metagenomics, have revealed operational taxonomic units that suggest a high diversity of microbial species and associated functions in soil. An emerging but technically challenging area to profile the functions of microorganisms and their activities is mRNA-based metatranscriptomics. Here, we describe issues and important considerations of soil sample processing and cDNA preparation for metatranscriptomics from bacteria and archaea and provide a set of methods that can be used in the required experimental steps.

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X Demographics

The data shown below were collected from the profiles of 2 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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Brazil 2 2%
Chile 1 <1%
Indonesia 1 <1%
Germany 1 <1%
Belgium 1 <1%
Canada 1 <1%
China 1 <1%
Denmark 1 <1%
Other 0 0%
Unknown 114 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 28%
Researcher 22 18%
Student > Master 21 17%
Student > Doctoral Student 10 8%
Student > Bachelor 8 6%
Other 16 13%
Unknown 13 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 49%
Environmental Science 16 13%
Biochemistry, Genetics and Molecular Biology 13 10%
Immunology and Microbiology 5 4%
Earth and Planetary Sciences 3 2%
Other 8 6%
Unknown 19 15%
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 04 October 2013.
All research outputs
#15,280,625
of 22,723,682 outputs
Outputs from Methods in enzymology
#1,747
of 2,587 outputs
Outputs of similar age
#181,557
of 280,763 outputs
Outputs of similar age from Methods in enzymology
#41
of 58 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,587 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.