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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
RNA Sequencing: From Sample Preparation to Analysis
|
|---|---|
| Chapter number | 6 |
| Book title |
Transcription Factor Regulatory Networks
|
| Published in |
Methods in molecular biology, January 2014
|
| DOI | 10.1007/978-1-4939-0805-9_6 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-0804-2, 978-1-4939-0805-9
|
| Authors |
Sho Maekawa, Ayako Suzuki, Sumio Sugano, Yutaka Suzuki, Maekawa, Sho, Suzuki, Ayako, Sugano, Sumio, Suzuki, Yutaka |
| Abstract |
The introduction of RNA sequencing (RNA-seq), as a direct result of rapid progression of next-generation sequencing technologies, has revolutionized the world of transcriptomics. It enables quantification of the complete set of RNA with all its isoforms in a given cell, in far greater accuracy than before. Here, we provide a step-by-step guide to the sample preparation in RNA-seq and an overview of the bioinformatic analysis that is required following the cDNA sequencing. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 49 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 16% |
| Student > Master | 8 | 16% |
| Researcher | 7 | 14% |
| Student > Bachelor | 5 | 10% |
| Other | 5 | 10% |
| Other | 8 | 16% |
| Unknown | 10 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 27% |
| Agricultural and Biological Sciences | 11 | 22% |
| Medicine and Dentistry | 2 | 4% |
| Social Sciences | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 13 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 09 January 2015.
All research outputs
#3,546,029
of 22,757,090 outputs
Outputs from Methods in molecular biology
#848
of 13,089 outputs
Outputs of similar age
#42,541
of 305,260 outputs
Outputs of similar age from Methods in molecular biology
#33
of 597 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,089 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 93% 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 305,260 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 86% of its contemporaries.
We're also able to compare this research output to 597 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.