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HLAreporter: a tool for HLA typing from next generation sequencing data

Overview of attention for article published in Genome Medicine, March 2015
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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 (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
13 X users
patent
2 patents
facebook
1 Facebook page

Citations

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65 Dimensions

Readers on

mendeley
122 Mendeley
citeulike
1 CiteULike
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Title
HLAreporter: a tool for HLA typing from next generation sequencing data
Published in
Genome Medicine, March 2015
DOI 10.1186/s13073-015-0145-3
Pubmed ID
Authors

Yazhi Huang, Jing Yang, Dingge Ying, Yan Zhang, Vorasuk Shotelersuk, Nattiya Hirankarn, Pak Chung Sham, Yu Lung Lau, Wanling Yang

Abstract

Human leukocyte antigen (HLA) typing from next generation sequencing (NGS) data has the potential for widespread applications. Here we introduce a novel tool (HLAreporter) for HLA typing from NGS data based on read-mapping using a comprehensive reference panel containing all known HLA alleles, followed by de novo assembly of the gene-specific short reads. Accurate HLA typing at high-digit resolution was achieved when it was tested on publicly available NGS data, outperforming other newly developed tools such as HLAminer and PHLAT. HLAreporter can be downloaded from http://paed.hku.hk/genome/.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
South Africa 1 <1%
Brazil 1 <1%
Unknown 119 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 30%
Student > Ph. D. Student 18 15%
Student > Master 13 11%
Student > Bachelor 10 8%
Other 9 7%
Other 15 12%
Unknown 21 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 27%
Agricultural and Biological Sciences 27 22%
Immunology and Microbiology 10 8%
Medicine and Dentistry 9 7%
Computer Science 4 3%
Other 12 10%
Unknown 27 22%
Attention Score in Context

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 21 June 2023.
All research outputs
#2,609,536
of 24,462,749 outputs
Outputs from Genome Medicine
#596
of 1,509 outputs
Outputs of similar age
#33,177
of 266,763 outputs
Outputs of similar age from Genome Medicine
#10
of 19 outputs
Altmetric has tracked 24,462,749 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 1,509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.0. This one has gotten more attention than average, scoring higher than 60% 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 266,763 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 87% of its contemporaries.
We're also able to compare this research output to 19 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 52% of its contemporaries.