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New methods for next generation sequencing based microRNA expression profiling

Overview of attention for article published in BMC Genomics, December 2010
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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 (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

patent
1 patent
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
84 Dimensions

Readers on

mendeley
317 Mendeley
citeulike
7 CiteULike
connotea
2 Connotea
Title
New methods for next generation sequencing based microRNA expression profiling
Published in
BMC Genomics, December 2010
DOI 10.1186/1471-2164-11-716
Pubmed ID
Authors

Henk PJ Buermans, Yavuz Ariyurek, Gertjan van Ommen, Johan T den Dunnen, Peter AC 't Hoen

Abstract

MicroRNAs are small non-coding RNA transcripts that regulate post-transcriptional gene expression. The millions of short sequence reads generated by next generation sequencing technologies make this technique explicitly suitable for profiling of known and novel microRNAs. A modification to the small-RNA expression kit (SREK, Ambion) library preparation method for the SOLiD sequencing platform is described to generate microRNA sequencing libraries that are compatible with the Illumina Genome Analyzer.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 317 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 3%
United Kingdom 4 1%
Netherlands 3 <1%
India 3 <1%
Belgium 2 <1%
Mexico 2 <1%
Brazil 2 <1%
Portugal 1 <1%
Germany 1 <1%
Other 5 2%
Unknown 283 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 93 29%
Student > Ph. D. Student 80 25%
Student > Master 33 10%
Professor > Associate Professor 19 6%
Student > Bachelor 17 5%
Other 61 19%
Unknown 14 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 198 62%
Biochemistry, Genetics and Molecular Biology 47 15%
Medicine and Dentistry 16 5%
Computer Science 9 3%
Chemistry 6 2%
Other 19 6%
Unknown 22 7%
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 22 February 2024.
All research outputs
#5,446,629
of 25,373,627 outputs
Outputs from BMC Genomics
#2,155
of 11,244 outputs
Outputs of similar age
#34,128
of 192,367 outputs
Outputs of similar age from BMC Genomics
#17
of 84 outputs
Altmetric has tracked 25,373,627 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 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 79% 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 192,367 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 84 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 73% of its contemporaries.