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Advantages and limitations of quantitative PCR (Q‐PCR)‐based approaches in microbial ecology

Overview of attention for article published in FEMS Microbiology Ecology, December 2008
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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1 news outlet
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3 X users
patent
8 patents

Citations

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643 Dimensions

Readers on

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2349 Mendeley
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4 CiteULike
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Title
Advantages and limitations of quantitative PCR (Q‐PCR)‐based approaches in microbial ecology
Published in
FEMS Microbiology Ecology, December 2008
DOI 10.1111/j.1574-6941.2008.00629.x
Pubmed ID
Authors

Cindy J. Smith, A. Mark Osborn

Abstract

Quantitative PCR (Q-PCR or real-time PCR) approaches are now widely applied in microbial ecology to quantify the abundance and expression of taxonomic and functional gene markers within the environment. Q-PCR-based analyses combine 'traditional' end-point detection PCR with fluorescent detection technologies to record the accumulation of amplicons in 'real time' during each cycle of the PCR amplification. By detection of amplicons during the early exponential phase of the PCR, this enables the quantification of gene (or transcript) numbers when these are proportional to the starting template concentration. When Q-PCR is coupled with a preceding reverse transcription reaction, it can be used to quantify gene expression (RT-Q-PCR). This review firstly addresses the theoretical and practical implementation of Q-PCR and RT-Q-PCR protocols in microbial ecology, highlighting key experimental considerations. Secondly, we review the applications of (RT)-Q-PCR analyses in environmental microbiology and evaluate the contribution and advances gained from such approaches. Finally, we conclude by offering future perspectives on the application of (RT)-Q-PCR in furthering understanding in microbial ecology, in particular, when coupled with other molecular approaches and more traditional investigations of environmental systems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 2,349 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 30 1%
United Kingdom 10 <1%
Germany 8 <1%
France 6 <1%
Brazil 5 <1%
Canada 4 <1%
India 3 <1%
South Africa 3 <1%
Sweden 3 <1%
Other 33 1%
Unknown 2244 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 430 18%
Student > Bachelor 398 17%
Student > Master 362 15%
Researcher 277 12%
Student > Doctoral Student 111 5%
Other 272 12%
Unknown 499 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 777 33%
Biochemistry, Genetics and Molecular Biology 337 14%
Environmental Science 205 9%
Medicine and Dentistry 102 4%
Immunology and Microbiology 69 3%
Other 291 12%
Unknown 568 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 11 September 2023.
All research outputs
#2,147,768
of 25,374,917 outputs
Outputs from FEMS Microbiology Ecology
#161
of 2,687 outputs
Outputs of similar age
#8,941
of 179,148 outputs
Outputs of similar age from FEMS Microbiology Ecology
#2
of 8 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,687 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 94% 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 179,148 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.