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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, January 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
3 tweeters
patent
2 patents

Citations

dimensions_citation
381 Dimensions

Readers on

mendeley
1474 Mendeley
citeulike
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, January 2009
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.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 1,474 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 30 2%
United Kingdom 10 <1%
Germany 8 <1%
France 6 <1%
Brazil 5 <1%
Canada 4 <1%
Japan 3 <1%
Mexico 3 <1%
Belgium 3 <1%
Other 41 3%
Unknown 1361 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 352 24%
Student > Master 275 19%
Student > Bachelor 257 17%
Researcher 231 16%
Student > Doctoral Student 84 6%
Other 195 13%
Unknown 80 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 706 48%
Biochemistry, Genetics and Molecular Biology 188 13%
Environmental Science 169 11%
Medicine and Dentistry 68 5%
Immunology and Microbiology 41 3%
Other 176 12%
Unknown 126 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 29 January 2019.
All research outputs
#2,272,880
of 14,207,392 outputs
Outputs from FEMS Microbiology Ecology
#351
of 1,424 outputs
Outputs of similar age
#18,340
of 120,929 outputs
Outputs of similar age from FEMS Microbiology Ecology
#1
of 5 outputs
Altmetric has tracked 14,207,392 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,424 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 75% 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 120,929 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them