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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improved hybrid de novo genome assembly of domesticated apple (Malus x domestica)
|
|---|---|
| Published in |
Giga Science, August 2016
|
| DOI | 10.1186/s13742-016-0139-0 |
| Pubmed ID | |
| Authors |
Xuewei Li, Ling Kui, Jing Zhang, Yinpeng Xie, Liping Wang, Yan Yan, Na Wang, Jidi Xu, Cuiying Li, Wen Wang, Steve van Nocker, Yang Dong, Fengwang Ma, Qingmei Guan |
| Abstract |
Domesticated apple (Malus × domestica Borkh) is a popular temperate fruit with high nutrient levels and diverse flavors. In 2012, global apple production accounted for at least one tenth of all harvested fruits. A high-quality apple genome assembly is crucial for the selection and breeding of new cultivars. Currently, a single reference genome is available for apple, assembled from 16.9 × genome coverage short reads via Sanger and 454 sequencing technologies. Although a useful resource, this assembly covers only ~89 % of the non-repetitive portion of the genome, and has a relatively short (16.7 kb) contig N50 length. These downsides make it difficult to apply this reference in transcriptive or whole-genome re-sequencing analyses. Here we present an improved hybrid de novo genomic assembly of apple (Golden Delicious), which was obtained from 76 Gb (~102 × genome coverage) Illumina HiSeq data and 21.7 Gb (~29 × genome coverage) PacBio data. The final draft genome is approximately 632.4 Mb, representing ~ 90 % of the estimated genome. The contig N50 size is 111,619 bp, representing a 7 fold improvement. Further annotation analyses predicted 53,922 protein-coding genes and 2,765 non-coding RNA genes. The new apple genome assembly will serve as a valuable resource for investigating complex apple traits at the genomic level. It is not only suitable for genome editing and gene cloning, but also for RNA-seq and whole-genome re-sequencing studies. |
X Demographics
The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 4 | 13% |
| United States | 3 | 9% |
| United Kingdom | 3 | 9% |
| New Zealand | 2 | 6% |
| Germany | 2 | 6% |
| Hong Kong | 2 | 6% |
| Netherlands | 2 | 6% |
| India | 1 | 3% |
| France | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 8 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 50% |
| Members of the public | 14 | 44% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Netherlands | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 79 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 21% |
| Researcher | 15 | 18% |
| Student > Master | 10 | 12% |
| Student > Postgraduate | 7 | 9% |
| Student > Doctoral Student | 5 | 6% |
| Other | 13 | 16% |
| Unknown | 15 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 48% |
| Biochemistry, Genetics and Molecular Biology | 20 | 24% |
| Computer Science | 4 | 5% |
| Nursing and Health Professions | 1 | 1% |
| Unspecified | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 16 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 30 December 2016.
All research outputs
#1,226,381
of 25,578,098 outputs
Outputs from Giga Science
#197
of 1,174 outputs
Outputs of similar age
#23,176
of 379,171 outputs
Outputs of similar age from Giga Science
#6
of 11 outputs
Altmetric has tracked 25,578,098 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,174 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.7. This one has done well, scoring higher than 83% 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 379,171 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 93% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.