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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
MicroRNA Expression Analysis Using the Illumina MicroRNA-Seq Platform.
|
|---|---|
| Chapter number | 12 |
| Book title |
Next-Generation MicroRNA Expression Profiling Technology
|
| Published in |
Methods in molecular biology, January 2012
|
| DOI | 10.1007/978-1-61779-427-8_12 |
| Pubmed ID | |
| Book ISBNs |
978-1-61779-426-1, 978-1-61779-427-8
|
| Authors |
Shujun Luo, Luo, Shujun |
| Abstract |
Direct sequencing of RNA molecules using next-generation sequencing (NGS) technology has revolutionized the analysis of transcriptome with its massively parallel throughput and low cost. Here, we describe Illumina's microRNA-Seq, a method for sequencing microRNA using the Illumina Genome Analyzer system. The sequence data generated from this method enables direct identifying and profiling of microRNAs in any given organism. It also sheds light in understanding the biogenesis and modification of microRNA. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 33% |
| Australia | 1 | 17% |
| United Kingdom | 1 | 17% |
| Germany | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| Mexico | 1 | <1% |
| United States | 1 | <1% |
| Luxembourg | 1 | <1% |
| Unknown | 96 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 26% |
| Student > Ph. D. Student | 19 | 19% |
| Student > Master | 13 | 13% |
| Student > Bachelor | 8 | 8% |
| Student > Doctoral Student | 5 | 5% |
| Other | 16 | 16% |
| Unknown | 14 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 47% |
| Biochemistry, Genetics and Molecular Biology | 16 | 16% |
| Medicine and Dentistry | 4 | 4% |
| Immunology and Microbiology | 3 | 3% |
| Neuroscience | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 18 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 24 May 2022.
All research outputs
#4,750,129
of 23,891,012 outputs
Outputs from Methods in molecular biology
#1,367
of 13,464 outputs
Outputs of similar age
#39,844
of 249,293 outputs
Outputs of similar age from Methods in molecular biology
#81
of 487 outputs
Altmetric has tracked 23,891,012 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,464 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 89% 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 249,293 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 83% of its contemporaries.
We're also able to compare this research output to 487 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.