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Development and evaluation of different normalization strategies for gene expression studies in Candida albicans biofilms by real-time PCR

Overview of attention for article published in BMC Molecular Biology, August 2006
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)

Mentioned by

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2 Wikipedia pages

Citations

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106 Dimensions

Readers on

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157 Mendeley
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Title
Development and evaluation of different normalization strategies for gene expression studies in Candida albicans biofilms by real-time PCR
Published in
BMC Molecular Biology, August 2006
DOI 10.1186/1471-2199-7-25
Pubmed ID
Authors

Heleen Nailis, Tom Coenye, Filip Van Nieuwerburgh, Dieter Deforce, Hans J Nelis

Abstract

Candida albicans biofilms are commonly found on indwelling medical devices. However, the molecular basis of biofilm formation and development is not completely understood. Expression analysis of genes potentially involved in these processes, such as the ALS (Agglutinine Like Sequence) gene family can be performed using quantitative PCR (qPCR). In the present study, we investigated the expression stability of eight housekeeping genes potentially useful as reference genes to study gene expression in Candida albicans (C. albicans) biofilms, using the geNorm Visual Basic Application (VBA) for Microsoft Excel. To validate our normalization strategies we determined differences in ALS1 and ALS3 expression levels between C. albicans biofilm cells and their planktonic counterparts.

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Indonesia 1 <1%
France 1 <1%
Brazil 1 <1%
Slovenia 1 <1%
United States 1 <1%
Unknown 151 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 22%
Student > Master 29 18%
Researcher 28 18%
Student > Bachelor 11 7%
Student > Postgraduate 8 5%
Other 25 16%
Unknown 22 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 38%
Biochemistry, Genetics and Molecular Biology 27 17%
Immunology and Microbiology 14 9%
Medicine and Dentistry 13 8%
Engineering 5 3%
Other 13 8%
Unknown 26 17%

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 02 August 2021.
All research outputs
#6,530,473
of 20,163,854 outputs
Outputs from BMC Molecular Biology
#77
of 302 outputs
Outputs of similar age
#96,077
of 313,926 outputs
Outputs of similar age from BMC Molecular Biology
#1
of 1 outputs
Altmetric has tracked 20,163,854 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 302 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 313,926 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 57% of its contemporaries.
We're also able to compare this research output to 1 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