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X Demographics
Mendeley readers
Attention Score in Context
| Title |
De novo assembly and analysis of RNA-seq data
|
|---|---|
| Published in |
Nature Methods, October 2010
|
| DOI | 10.1038/nmeth.1517 |
| Pubmed ID | |
| Authors |
Gordon Robertson, Jacqueline Schein, Readman Chiu, Richard Corbett, Matthew Field, Shaun D Jackman, Karen Mungall, Sam Lee, Hisanaga Mark Okada, Jenny Q Qian, Malachi Griffith, Anthony Raymond, Nina Thiessen, Timothee Cezard, Yaron S Butterfield, Richard Newsome, Simon K Chan, Rong She, Richard Varhol, Baljit Kamoh, Anna-Liisa Prabhu, Angela Tam, YongJun Zhao, Richard A Moore, Martin Hirst, Marco A Marra, Steven J M Jones, Pamela A Hoodless, Inanc Birol |
| Abstract |
We describe Trans-ABySS, a de novo short-read transcriptome assembly and analysis pipeline that addresses variation in local read densities by assembling read substrings with varying stringencies and then merging the resulting contigs before analysis. Analyzing 7.4 gigabases of 50-base-pair paired-end Illumina reads from an adult mouse liver poly(A) RNA library, we identified known, new and alternative structures in expressed transcripts, and achieved high sensitivity and specificity relative to reference-based assembly methods. |
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 % |
|---|---|---|
| France | 1 | 17% |
| Canada | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,524 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 42 | 3% |
| United Kingdom | 19 | 1% |
| Germany | 13 | <1% |
| France | 9 | <1% |
| Canada | 9 | <1% |
| Sweden | 9 | <1% |
| Brazil | 9 | <1% |
| Italy | 7 | <1% |
| Spain | 7 | <1% |
| Other | 52 | 3% |
| Unknown | 1348 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 379 | 25% |
| Researcher | 337 | 22% |
| Student > Master | 208 | 14% |
| Student > Bachelor | 106 | 7% |
| Student > Doctoral Student | 91 | 6% |
| Other | 239 | 16% |
| Unknown | 164 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 839 | 55% |
| Biochemistry, Genetics and Molecular Biology | 267 | 18% |
| Computer Science | 87 | 6% |
| Medicine and Dentistry | 32 | 2% |
| Engineering | 18 | 1% |
| Other | 93 | 6% |
| Unknown | 188 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 07 November 2023.
All research outputs
#1,486,252
of 23,344,526 outputs
Outputs from Nature Methods
#1,768
of 5,002 outputs
Outputs of similar age
#5,173
of 100,270 outputs
Outputs of similar age from Nature Methods
#10
of 48 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,002 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.2. This one has gotten more attention than average, scoring higher than 64% 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 100,270 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 94% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.