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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 and Cell Biology, August 2006
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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 and Cell 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

Mendeley readers

The data shown below were compiled from readership statistics for 166 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 160 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 20%
Researcher 30 18%
Student > Master 28 17%
Student > Bachelor 12 7%
Student > Postgraduate 8 5%
Other 27 16%
Unknown 27 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 36%
Biochemistry, Genetics and Molecular Biology 27 16%
Immunology and Microbiology 17 10%
Medicine and Dentistry 13 8%
Engineering 5 3%
Other 13 8%
Unknown 32 19%
Attention Score in Context

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 04 December 2023.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from BMC Molecular and Cell Biology
#334
of 1,233 outputs
Outputs of similar age
#31,183
of 91,933 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#1
of 11 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,233 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 48th percentile – i.e., 48% 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 91,933 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.