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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Informatics for RNA Sequencing: A Web Resource for Analysis on the Cloud
|
|---|---|
| Published in |
PLoS Computational Biology, August 2015
|
| DOI | 10.1371/journal.pcbi.1004393 |
| Pubmed ID | |
| Authors |
Malachi Griffith, Jason R. Walker, Nicholas C. Spies, Benjamin J. Ainscough, Obi L. Griffith |
| Abstract |
Massively parallel RNA sequencing (RNA-seq) has rapidly become the assay of choice for interrogating RNA transcript abundance and diversity. This article provides a detailed introduction to fundamental RNA-seq molecular biology and informatics concepts. We make available open-access RNA-seq tutorials that cover cloud computing, tool installation, relevant file formats, reference genomes, transcriptome annotations, quality-control strategies, expression, differential expression, and alternative splicing analysis methods. These tutorials and additional training resources are accompanied by complete analysis pipelines and test datasets made available without encumbrance at www.rnaseq.wiki. |
X Demographics
The data shown below were collected from the profiles of 135 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 | 39 | 29% |
| Canada | 12 | 9% |
| United Kingdom | 6 | 4% |
| Germany | 5 | 4% |
| Australia | 4 | 3% |
| France | 3 | 2% |
| India | 3 | 2% |
| Switzerland | 2 | 1% |
| Brazil | 2 | 1% |
| Other | 10 | 7% |
| Unknown | 49 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 83 | 61% |
| Members of the public | 49 | 36% |
| Science communicators (journalists, bloggers, editors) | 2 | 1% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 946 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 1% |
| Germany | 5 | <1% |
| Brazil | 4 | <1% |
| Denmark | 3 | <1% |
| United Kingdom | 3 | <1% |
| France | 2 | <1% |
| Argentina | 2 | <1% |
| Czechia | 2 | <1% |
| Finland | 1 | <1% |
| Other | 12 | 1% |
| Unknown | 902 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 227 | 24% |
| Researcher | 190 | 20% |
| Student > Master | 121 | 13% |
| Student > Bachelor | 86 | 9% |
| Student > Doctoral Student | 53 | 6% |
| Other | 128 | 14% |
| Unknown | 141 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 307 | 32% |
| Biochemistry, Genetics and Molecular Biology | 267 | 28% |
| Computer Science | 46 | 5% |
| Immunology and Microbiology | 35 | 4% |
| Medicine and Dentistry | 34 | 4% |
| Other | 94 | 10% |
| Unknown | 163 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 97. 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 27 February 2022.
All research outputs
#446,750
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#311
of 9,043 outputs
Outputs of similar age
#4,963
of 276,321 outputs
Outputs of similar age from PLoS Computational Biology
#7
of 139 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done particularly well, scoring higher than 96% 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 276,321 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 139 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.