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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Nanopore sequencing and assembly of a human genome with ultra-long reads
|
|---|---|
| Published in |
Nature Biotechnology, January 2018
|
| DOI | 10.1038/nbt.4060 |
| Pubmed ID | |
| Authors |
Miten Jain, Sergey Koren, Karen H Miga, Josh Quick, Arthur C Rand, Thomas A Sasani, John R Tyson, Andrew D Beggs, Alexander T Dilthey, Ian T Fiddes, Sunir Malla, Hannah Marriott, Tom Nieto, Justin O'Grady, Hugh E Olsen, Brent S Pedersen, Arang Rhie, Hollian Richardson, Aaron R Quinlan, Terrance P Snutch, Louise Tee, Benedict Paten, Adam M Phillippy, Jared T Simpson, Nicholas J Loman, Matthew Loose |
| Abstract |
We report the sequencing and assembly of a reference genome for the human GM12878 Utah/Ceph cell line using the MinION (Oxford Nanopore Technologies) nanopore sequencer. 91.2 Gb of sequence data, representing ∼30× theoretical coverage, were produced. Reference-based alignment enabled detection of large structural variants and epigenetic modifications. De novo assembly of nanopore reads alone yielded a contiguous assembly (NG50 ∼3 Mb). We developed a protocol to generate ultra-long reads (N50 > 100 kb, read lengths up to 882 kb). Incorporating an additional 5× coverage of these ultra-long reads more than doubled the assembly contiguity (NG50 ∼6.4 Mb). The final assembled genome was 2,867 million bases in size, covering 85.8% of the reference. Assembly accuracy, after incorporating complementary short-read sequencing data, exceeded 99.8%. Ultra-long reads enabled assembly and phasing of the 4-Mb major histocompatibility complex (MHC) locus in its entirety, measurement of telomere repeat length, and closure of gaps in the reference human genome assembly GRCh38. |
X Demographics
The data shown below were collected from the profiles of 2,076 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 States | 387 | 19% |
| United Kingdom | 220 | 11% |
| Canada | 61 | 3% |
| Germany | 52 | 3% |
| Australia | 46 | 2% |
| Spain | 46 | 2% |
| France | 44 | 2% |
| India | 39 | 2% |
| Italy | 39 | 2% |
| Other | 324 | 16% |
| Unknown | 818 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1402 | 68% |
| Scientists | 570 | 27% |
| Practitioners (doctors, other healthcare professionals) | 62 | 3% |
| Science communicators (journalists, bloggers, editors) | 41 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,378 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 2375 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 472 | 20% |
| Researcher | 415 | 17% |
| Student > Master | 282 | 12% |
| Student > Bachelor | 273 | 11% |
| Other | 100 | 4% |
| Other | 355 | 15% |
| Unknown | 481 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 774 | 33% |
| Agricultural and Biological Sciences | 498 | 21% |
| Computer Science | 118 | 5% |
| Medicine and Dentistry | 73 | 3% |
| Engineering | 69 | 3% |
| Other | 296 | 12% |
| Unknown | 550 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1392. 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 March 2024.
All research outputs
#9,149
of 25,743,152 outputs
Outputs from Nature Biotechnology
#14
of 8,610 outputs
Outputs of similar age
#148
of 452,909 outputs
Outputs of similar age from Nature Biotechnology
#2
of 71 outputs
Altmetric has tracked 25,743,152 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,610 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.5. This one has done particularly well, scoring higher than 99% 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 452,909 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 99% of its contemporaries.
We're also able to compare this research output to 71 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 97% of its contemporaries.