↓ Skip to main content

Article

Overview of attention for book
Attention for Chapter 7: Metatranscriptomic Techniques for Identifying Cellulases in Termites and their Symbionts
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
7 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Metatranscriptomic Techniques for Identifying Cellulases in Termites and their Symbionts
Chapter number 7
Book title
Cellulases
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7877-9_7
Pubmed ID
Book ISBNs
978-1-4939-7876-2, 978-1-4939-7877-9
Authors

Brittany F. Peterson, Michael E. Scharf, Peterson, Brittany F., Scharf, Michael E.

Abstract

Characterizing symbiotic communities, like that of the termite hindgut, is essential for understanding their functionality and capabilities. However, the same complexity that allows termites to digest wood so efficiently also makes them difficult to study. With the expansion in technology and sequencing strategies the feasibility of sequencing entire consortiums or microecosystems is now possible. Here we present an adapted library preparation strategy which allows for the detection and measurement of expressed genes from all three domains of life in a single sample simultaneously. This technique effectively captures the transcriptome contributions by the various members of the consortium regardless of their taxonomic identity, which can then be annotated using custom-built databases and reciprocal BLASTing. Joining the universality of this library prep strategy with the power of bioinformatics allows for the identification of cellulases and other genes encoding carbohydrate active enzymes from complex communities using metatranscriptomics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 29%
Student > Bachelor 1 14%
Lecturer > Senior Lecturer 1 14%
Student > Ph. D. Student 1 14%
Researcher 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 43%
Biochemistry, Genetics and Molecular Biology 1 14%
Nursing and Health Professions 1 14%
Immunology and Microbiology 1 14%
Unknown 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 February 2019.
All research outputs
#8,129,965
of 25,097,836 outputs
Outputs from Methods in molecular biology
#2,456
of 14,110 outputs
Outputs of similar age
#153,215
of 454,845 outputs
Outputs of similar age from Methods in molecular biology
#227
of 1,486 outputs
Altmetric has tracked 25,097,836 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 14,110 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 81% 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 454,845 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 1,486 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.