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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A scalable and memory-efficient algorithm for de novo transcriptome assembly of non-model organisms
|
|---|---|
| Published in |
BMC Genomics, May 2017
|
| DOI | 10.1186/s12864-017-3735-1 |
| Pubmed ID | |
| Authors |
Sing-Hoi Sze, Meaghan L. Pimsler, Jeffery K. Tomberlin, Corbin D. Jones, Aaron M. Tarone |
| Abstract |
With increased availability of de novo assembly algorithms, it is feasible to study entire transcriptomes of non-model organisms. While algorithms are available that are specifically designed for performing transcriptome assembly from high-throughput sequencing data, they are very memory-intensive, limiting their applications to small data sets with few libraries. We develop a transcriptome assembly algorithm that recovers alternatively spliced isoforms and expression levels while utilizing as many RNA-Seq libraries as possible that contain hundreds of gigabases of data. New techniques are developed so that computations can be performed on a computing cluster with moderate amount of physical memory. Our strategy minimizes memory consumption while simultaneously obtaining comparable or improved accuracy over existing algorithms. It provides support for incremental updates of assemblies when new libraries become available. |
X Demographics
The data shown below were collected from the profiles of 19 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 Kingdom | 2 | 11% |
| China | 1 | 5% |
| Germany | 1 | 5% |
| Netherlands | 1 | 5% |
| Australia | 1 | 5% |
| France | 1 | 5% |
| Brazil | 1 | 5% |
| India | 1 | 5% |
| Spain | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 9 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 58% |
| Members of the public | 7 | 37% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 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 | 42 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 23% |
| Researcher | 8 | 18% |
| Student > Master | 7 | 16% |
| Student > Bachelor | 5 | 11% |
| Other | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 34% |
| Biochemistry, Genetics and Molecular Biology | 13 | 30% |
| Computer Science | 5 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 6 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 19 January 2018.
All research outputs
#2,023,483
of 24,981,585 outputs
Outputs from BMC Genomics
#488
of 11,129 outputs
Outputs of similar age
#37,690
of 319,115 outputs
Outputs of similar age from BMC Genomics
#17
of 216 outputs
Altmetric has tracked 24,981,585 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,129 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 95% 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 319,115 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 88% of its contemporaries.
We're also able to compare this research output to 216 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 92% of its contemporaries.