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Evaluation of two commercial global miRNA expression profiling platforms for detection of less abundant miRNAs

Overview of attention for article published in BMC Genomics, August 2011
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Mentioned by

twitter
2 tweeters
facebook
1 Facebook page
linkedin
1 LinkedIn user

Citations

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114 Dimensions

Readers on

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177 Mendeley
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Title
Evaluation of two commercial global miRNA expression profiling platforms for detection of less abundant miRNAs
Published in
BMC Genomics, August 2011
DOI 10.1186/1471-2164-12-435
Pubmed ID
Authors

Steffen G Jensen, Philippe Lamy, Mads H Rasmussen, Marie S Ostenfeld, Lars Dyrskjøt, Torben F Ørntoft, Claus L Andersen

Abstract

microRNAs (miRNA) are short, endogenous transcripts that negatively regulate the expression of specific mRNA targets. miRNAs are found both in tissues and body fluids such as plasma. A major perspective for the use of miRNAs in the clinical setting is as diagnostic plasma markers for neoplasia. While miRNAs are abundant in tissues, they are often scarce in plasma. For quantification of miRNA in plasma it is therefore of importance to use a platform with high sensitivity and linear performance in the low concentration range. This motivated us to evaluate the performance of three commonly used commercial miRNA quantification platforms: GeneChip miRNA 2.0 Array, miRCURY Ready-to-Use PCR, Human panel I+II V1.M, and TaqMan Human MicroRNA Array v3.0.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 4 2%
United Kingdom 3 2%
Germany 2 1%
Netherlands 2 1%
Brazil 1 <1%
Ireland 1 <1%
Poland 1 <1%
Canada 1 <1%
Spain 1 <1%
Other 4 2%
Unknown 157 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 62 35%
Student > Ph. D. Student 38 21%
Student > Master 16 9%
Student > Bachelor 11 6%
Other 11 6%
Other 39 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 94 53%
Medicine and Dentistry 32 18%
Biochemistry, Genetics and Molecular Biology 26 15%
Unspecified 10 6%
Immunology and Microbiology 3 2%
Other 12 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 September 2012.
All research outputs
#7,115,022
of 12,378,406 outputs
Outputs from BMC Genomics
#3,850
of 7,251 outputs
Outputs of similar age
#52,174
of 91,248 outputs
Outputs of similar age from BMC Genomics
#30
of 62 outputs
Altmetric has tracked 12,378,406 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,251 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 42nd percentile – i.e., 42% 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 91,248 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.