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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Kourami: graph-guided assembly for novel human leukocyte antigen allele discovery
|
|---|---|
| Published in |
Genome Biology, February 2018
|
| DOI | 10.1186/s13059-018-1388-2 |
| Pubmed ID | |
| Authors |
Heewook Lee, Carl Kingsford |
| Abstract |
Accurate typing of human leukocyte antigen (HLA) is important because HLA genes play important roles in immune responses and disease genesis. Previously available computational methods are database-matching approaches and their outputs are inherently limited by the completeness of already known types, making them unsuitable for discovery of novel alleles. We have developed a graph-guided assembly technique for classical HLA genes, which can construct allele sequences given high-coverage whole-genome sequencing data. Our method delivers highly accurate HLA typing, comparable to the current state-of-the-art methods. Using various data, we also demonstrate that our method can type novel alleles. |
X Demographics
The data shown below were collected from the profiles of 16 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 | 7 | 44% |
| United Kingdom | 3 | 19% |
| India | 1 | 6% |
| France | 1 | 6% |
| Unknown | 4 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 50% |
| Members of the public | 7 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 18% |
| Researcher | 17 | 18% |
| Student > Master | 9 | 10% |
| Student > Bachelor | 9 | 10% |
| Other | 6 | 6% |
| Other | 15 | 16% |
| Unknown | 21 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 29% |
| Agricultural and Biological Sciences | 17 | 18% |
| Computer Science | 13 | 14% |
| Medicine and Dentistry | 5 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 6 | 6% |
| Unknown | 25 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 20 August 2020.
All research outputs
#2,757,975
of 25,394,764 outputs
Outputs from Genome Biology
#2,152
of 4,470 outputs
Outputs of similar age
#61,766
of 446,557 outputs
Outputs of similar age from Genome Biology
#32
of 45 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 51% 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 446,557 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.