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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Chiron: Translating nanopore raw signal directly into nucleotide sequence using deep learning
|
|---|---|
| Published in |
Giga Science, April 2018
|
| DOI | 10.1093/gigascience/giy037 |
| Pubmed ID | |
| Authors |
Haotian Teng, Minh Duc Cao, Michael B Hall, Tania Duarte, Sheng Wang, Lachlan J M Coin |
| Abstract |
Sequencing by translocating DNA fragments through an array of nanopores is a rapidly maturing technology which offers faster and cheaper sequencing than other approaches. However, accurately deciphering the DNA sequence from the noisy and complex electrical signal is challenging. Here, we report Chiron, the first deep learning model to achieve end-to-end basecalling: directly translating the raw signal to DNA sequence without the error-prone segmentation step. Trained with only a small set of 4000 reads, we show that our model provides state-of-the-art basecalling accuracy even on previously unseen species. Chiron achieves basecalling speeds of over 2000 bases per second using desktop computer graphics processing units. |
X Demographics
The data shown below were collected from the profiles of 76 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 | 15 | 20% |
| Australia | 12 | 16% |
| United States | 8 | 11% |
| Hong Kong | 3 | 4% |
| Canada | 3 | 4% |
| Sweden | 2 | 3% |
| Germany | 2 | 3% |
| Netherlands | 2 | 3% |
| New Zealand | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 21 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 42 | 55% |
| Members of the public | 32 | 42% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 308 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 308 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 19% |
| Researcher | 44 | 14% |
| Student > Master | 42 | 14% |
| Student > Bachelor | 37 | 12% |
| Other | 14 | 5% |
| Other | 41 | 13% |
| Unknown | 70 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 67 | 22% |
| Agricultural and Biological Sciences | 59 | 19% |
| Computer Science | 50 | 16% |
| Engineering | 19 | 6% |
| Medicine and Dentistry | 7 | 2% |
| Other | 32 | 10% |
| Unknown | 74 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 58. 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 01 June 2023.
All research outputs
#735,015
of 25,382,440 outputs
Outputs from Giga Science
#81
of 1,168 outputs
Outputs of similar age
#16,644
of 343,274 outputs
Outputs of similar age from Giga Science
#2
of 44 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done particularly well, scoring higher than 93% 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 343,274 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 44 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 95% of its contemporaries.