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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploiting single-molecule transcript sequencing for eukaryotic gene prediction
|
|---|---|
| Published in |
Genome Biology, September 2015
|
| DOI | 10.1186/s13059-015-0729-7 |
| Pubmed ID | |
| Authors |
André E. Minoche, Juliane C. Dohm, Jessica Schneider, Daniela Holtgräwe, Prisca Viehöver, Magda Montfort, Thomas Rosleff Sörensen, Bernd Weisshaar, Heinz Himmelbauer |
| Abstract |
We develop a method to predict and validate gene models using PacBio single-molecule, real-time (SMRT) cDNA reads. Ninety-eight percent of full-insert SMRT reads span complete open reading frames. Gene model validation using SMRT reads is developed as automated process. Optimized training and prediction settings and mRNA-seq noise reduction of assisting Illumina reads results in increased gene prediction sensitivity and precision. Additionally, we present an improved gene set for sugar beet (Beta vulgaris) and the first genome-wide gene set for spinach (Spinacia oleracea). The workflow and guidelines are a valuable resource to obtain comprehensive gene sets for newly sequenced genomes of non-model eukaryotes. |
X Demographics
The data shown below were collected from the profiles of 29 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 | 7 | 24% |
| United States | 5 | 17% |
| South Africa | 2 | 7% |
| Belgium | 1 | 3% |
| Australia | 1 | 3% |
| Spain | 1 | 3% |
| France | 1 | 3% |
| Netherlands | 1 | 3% |
| China | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 8 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 52% |
| Members of the public | 12 | 41% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Austria | 2 | 1% |
| Spain | 2 | 1% |
| Norway | 1 | <1% |
| Singapore | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| Taiwan | 1 | <1% |
| Unknown | 167 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 46 | 26% |
| Student > Ph. D. Student | 40 | 22% |
| Student > Master | 16 | 9% |
| Student > Bachelor | 12 | 7% |
| Professor > Associate Professor | 10 | 6% |
| Other | 27 | 15% |
| Unknown | 28 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 88 | 49% |
| Biochemistry, Genetics and Molecular Biology | 36 | 20% |
| Computer Science | 8 | 4% |
| Immunology and Microbiology | 3 | 2% |
| Engineering | 3 | 2% |
| Other | 8 | 4% |
| Unknown | 33 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 16 April 2016.
All research outputs
#982,927
of 25,371,288 outputs
Outputs from Genome Biology
#692
of 4,467 outputs
Outputs of similar age
#13,242
of 277,045 outputs
Outputs of similar age from Genome Biology
#16
of 82 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 84% 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 277,045 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 95% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.