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Quantification and accurate normalisation of small RNAs through new custom RT-qPCR arrays demonstrates Salmonella-induced microRNAs in human monocytes

Overview of attention for article published in BMC Genomics, January 2012
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1 X user

Citations

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Title
Quantification and accurate normalisation of small RNAs through new custom RT-qPCR arrays demonstrates Salmonella-induced microRNAs in human monocytes
Published in
BMC Genomics, January 2012
DOI 10.1186/1471-2164-13-23
Pubmed ID
Authors

Soroush Sharbati, Jutta Sharbati, Lena Hoeke, Marc Bohmer, Ralf Einspanier

Abstract

Small interfering and non-coding RNAs regulate gene expression across all kingdoms of life. MicroRNAs constitute an important group of metazoan small RNAs regulating development but also disease. Accordingly, in functional genomics microRNA expression analysis sheds more and more light on the dynamic regulation of gene expression in various cellular processes.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
Sweden 1 2%
United Kingdom 1 2%
China 1 2%
United States 1 2%
Unknown 49 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 26%
Student > Master 11 20%
Student > Ph. D. Student 10 19%
Student > Doctoral Student 7 13%
Student > Bachelor 4 7%
Other 6 11%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 61%
Biochemistry, Genetics and Molecular Biology 8 15%
Medicine and Dentistry 3 6%
Nursing and Health Professions 1 2%
Environmental Science 1 2%
Other 5 9%
Unknown 3 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 January 2012.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from BMC Genomics
#9,840
of 11,244 outputs
Outputs of similar age
#229,114
of 251,090 outputs
Outputs of similar age from BMC Genomics
#116
of 121 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 251,090 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.