↓ Skip to main content

Survey of methanotrophic diversity in various ecosystems by degenerate methane monooxygenase gene primers

Overview of attention for article published in AMB Express, August 2017
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
45 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.
Title
Survey of methanotrophic diversity in various ecosystems by degenerate methane monooxygenase gene primers
Published in
AMB Express, August 2017
DOI 10.1186/s13568-017-0466-2
Pubmed ID
Authors

Mohammad Ghashghavi, Mike S. M. Jetten, Claudia Lüke

Abstract

Methane is the second most important greenhouse gas contributing to about 20% of global warming. Its mitigation is conducted by methane oxidizing bacteria that act as a biofilter using methane as their energy and carbon source. Since their first discovery in 1906, methanotrophs have been studied using a complementary array of methods. One of the most used molecular methods involves PCR amplification of the functional gene marker for the diagnostic of copper and iron containing particulate methane monooxygenase. To investigate the diversity of methanotrophs and to extend their possible molecular detection, we designed a new set of degenerate methane monooxygenase primers to target an 850 nucleotide long sequence stretch from pmoC to pmoA. The primers were based on all available full genomic pmoCAB operons. The newly designed primers were tested on various pure cultures, enrichment cultures and environmental samples using PCR. The results demonstrated that this primer set has the ability to correctly amplify the about 850 nucleotide long pmoCA product from Alphaproteobacteria, Gammaproteobacteria, Verrucomicrobia and the NC10 phyla methanotrophs. The new primer set will thus be a valuable tool to screen ecosystems and can be applied in conjunction with previously used pmoA primers to extend the diversity of currently known methane-oxidizing bacteria.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Student > Master 10 22%
Student > Bachelor 6 13%
Researcher 5 11%
Student > Postgraduate 3 7%
Other 6 13%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 27%
Environmental Science 11 24%
Biochemistry, Genetics and Molecular Biology 5 11%
Immunology and Microbiology 3 7%
Engineering 2 4%
Other 6 13%
Unknown 6 13%

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 24 August 2017.
All research outputs
#6,838,951
of 13,560,201 outputs
Outputs from AMB Express
#112
of 864 outputs
Outputs of similar age
#100,872
of 268,738 outputs
Outputs of similar age from AMB Express
#6
of 41 outputs
Altmetric has tracked 13,560,201 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 864 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 86% 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 268,738 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 61% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.