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Inference of high resolution HLA types using genome-wide RNA or DNA sequencing reads

Overview of attention for article published in BMC Genomics, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
2 tweeters
patent
2 patents

Citations

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81 Dimensions

Readers on

mendeley
159 Mendeley
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2 CiteULike
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Title
Inference of high resolution HLA types using genome-wide RNA or DNA sequencing reads
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-325
Pubmed ID
Authors

Yu Bai, Min Ni, Blerta Cooper, Yi Wei, Wen Fury

Abstract

Accurate HLA typing at amino acid level (four-digit resolution) is critical in hematopoietic and organ transplantations, pathogenesis studies of autoimmune and infectious diseases, as well as the development of immunoncology therapies. With the rapid adoption of genome-wide sequencing in biomedical research, HLA typing based on transcriptome and whole exome/genome sequencing data becomes increasingly attractive due to its high throughput and convenience. However, unlike targeted amplicon sequencing, genome-wide sequencing often employs a reduced read length and coverage that impose great challenges in resolving the highly homologous HLA alleles. Though several algorithms exist and have been applied to four-digit typing, some deliver low to moderate accuracies, some output ambiguous predictions. Moreover, few methods suit diverse read lengths and depths, and both RNA and DNA sequencing inputs. New algorithms are therefore needed to leverage the accuracy and flexibility of HLA typing at high resolution using genome-wide sequencing data.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Brazil 3 2%
United Kingdom 2 1%
Sweden 1 <1%
India 1 <1%
Italy 1 <1%
Argentina 1 <1%
Germany 1 <1%
Unknown 146 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 28%
Student > Ph. D. Student 33 21%
Student > Master 15 9%
Student > Bachelor 12 8%
Other 9 6%
Other 27 17%
Unknown 19 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 30%
Biochemistry, Genetics and Molecular Biology 35 22%
Medicine and Dentistry 16 10%
Computer Science 12 8%
Immunology and Microbiology 10 6%
Other 12 8%
Unknown 26 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 January 2018.
All research outputs
#3,369,422
of 17,623,290 outputs
Outputs from BMC Genomics
#1,546
of 9,372 outputs
Outputs of similar age
#37,667
of 197,678 outputs
Outputs of similar age from BMC Genomics
#4
of 9 outputs
Altmetric has tracked 17,623,290 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,372 research outputs from this source. They receive a mean Attention Score of 4.4. 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 197,678 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 80% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.