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X Demographics
Mendeley readers
Attention Score in Context
| Title |
OPERA-LG: efficient and exact scaffolding of large, repeat-rich eukaryotic genomes with performance guarantees
|
|---|---|
| Published in |
Genome Biology, May 2016
|
| DOI | 10.1186/s13059-016-0951-y |
| Pubmed ID | |
| Authors |
Song Gao, Denis Bertrand, Burton K. H. Chia, Niranjan Nagarajan |
| Abstract |
The assembly of large, repeat-rich eukaryotic genomes represents a significant challenge in genomics. While long-read technologies have made the high-quality assembly of small, microbial genomes increasingly feasible, data generation can be expensive for larger genomes. OPERA-LG is a scalable, exact algorithm for the scaffold assembly of large, repeat-rich genomes, out-performing state-of-the-art programs for scaffold correctness and contiguity. It provides a rigorous framework for scaffolding of repetitive sequences and a systematic approach for combining data from different second-generation and third-generation sequencing technologies. OPERA-LG provides an avenue for systematic augmentation and improvement of thousands of existing draft eukaryotic genome assemblies. |
X Demographics
The data shown below were collected from the profiles of 27 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 | 3 | 11% |
| Singapore | 3 | 11% |
| United States | 3 | 11% |
| Sweden | 2 | 7% |
| Germany | 2 | 7% |
| Taiwan | 1 | 4% |
| Netherlands | 1 | 4% |
| Norway | 1 | 4% |
| Japan | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 52% |
| Members of the public | 10 | 37% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Netherlands | 1 | <1% |
| Norway | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Germany | 1 | <1% |
| Singapore | 1 | <1% |
| Czechia | 1 | <1% |
| Japan | 1 | <1% |
| China | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 129 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 28% |
| Researcher | 27 | 19% |
| Student > Master | 16 | 12% |
| Student > Bachelor | 10 | 7% |
| Student > Doctoral Student | 6 | 4% |
| Other | 14 | 10% |
| Unknown | 27 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 37% |
| Biochemistry, Genetics and Molecular Biology | 29 | 21% |
| Computer Science | 19 | 14% |
| Immunology and Microbiology | 4 | 3% |
| Environmental Science | 2 | 1% |
| Other | 5 | 4% |
| Unknown | 29 | 21% |
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 27 August 2016.
All research outputs
#1,713,011
of 25,374,917 outputs
Outputs from Genome Biology
#1,404
of 4,467 outputs
Outputs of similar age
#28,571
of 323,885 outputs
Outputs of similar age from Genome Biology
#32
of 79 outputs
Altmetric has tracked 25,374,917 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 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 gotten more attention than average, scoring higher than 68% 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 323,885 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 91% of its contemporaries.
We're also able to compare this research output to 79 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 59% of its contemporaries.