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Cross-platform comparison of SYBR® Green real-time PCR with TaqMan PCR, microarrays and other gene expression measurement technologies evaluated in the MicroArray Quality Control (MAQC) study

Overview of attention for article published in BMC Genomics, July 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
137 Dimensions

Readers on

mendeley
213 Mendeley
citeulike
7 CiteULike
connotea
2 Connotea
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Title
Cross-platform comparison of SYBR® Green real-time PCR with TaqMan PCR, microarrays and other gene expression measurement technologies evaluated in the MicroArray Quality Control (MAQC) study
Published in
BMC Genomics, July 2008
DOI 10.1186/1471-2164-9-328
Pubmed ID
Authors

Emi Arikawa, Yanyang Sun, Jie Wang, Qiong Zhou, Baitang Ning, Stacey L Dial, Lei Guo, Jingping Yang

Abstract

The MicroArray Quality Control (MAQC) project evaluated the inter- and intra-platform reproducibility of seven microarray platforms and three quantitative gene expression assays in profiling the expression of two commercially available Reference RNA samples (Nat Biotechnol 24:1115-22, 2006). The tested microarrays were the platforms from Affymetrix, Agilent Technologies, Applied Biosystems, GE Healthcare, Illumina, Eppendorf and the National Cancer Institute, and quantitative gene expression assays included TaqMan Gene Expression PCR Assay, Standardized (Sta) RT-PCRtrade mark and QuantiGene. The data showed great consistency in gene expression measurements across different microarray platforms, different technologies and test sites. However, SYBR Green real-time PCR, another common technique utilized by half of all real-time PCR users for gene expression measurement, was not addressed in the MAQC study. In the present study, we compared the performance of SYBR Green PCR with TaqMan PCR, microarrays and other quantitative technologies using the same two Reference RNA samples as the MAQC project. We assessed SYBR Green real-time PCR using commercially available RT2 Profilertrade mark PCR Arrays from SuperArray, containing primer pairs that have been experimentally validated to ensure gene-specificity and high amplification efficiency.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Colombia 2 <1%
Germany 2 <1%
Netherlands 1 <1%
France 1 <1%
Norway 1 <1%
Kenya 1 <1%
Switzerland 1 <1%
Sweden 1 <1%
Other 7 3%
Unknown 192 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 60 28%
Student > Ph. D. Student 39 18%
Student > Master 25 12%
Student > Bachelor 21 10%
Professor > Associate Professor 16 8%
Other 25 12%
Unknown 27 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 95 45%
Medicine and Dentistry 28 13%
Biochemistry, Genetics and Molecular Biology 23 11%
Immunology and Microbiology 5 2%
Veterinary Science and Veterinary Medicine 4 2%
Other 24 11%
Unknown 34 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 July 2008.
All research outputs
#5,650,815
of 22,705,019 outputs
Outputs from BMC Genomics
#2,345
of 10,624 outputs
Outputs of similar age
#23,065
of 81,536 outputs
Outputs of similar age from BMC Genomics
#9
of 32 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,624 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 77% 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 81,536 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 71% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.