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Cost-efficient high-throughput HLA typing by MiSeq amplicon sequencing

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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
12 tweeters
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1 research highlight platform

Citations

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145 Dimensions

Readers on

mendeley
263 Mendeley
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Title
Cost-efficient high-throughput HLA typing by MiSeq amplicon sequencing
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-63
Pubmed ID
Authors

Vinzenz Lange, Irina Böhme, Jan Hofmann, Kathrin Lang, Jürgen Sauter, Bianca Schöne, Patrick Paul, Viviane Albrecht, Johanna M Andreas, Daniel M Baier, Jochen Nething, Ulf Ehninger, Carmen Schwarzelt, Julia Pingel, Gerhard Ehninger, Alexander H Schmidt

Abstract

A close match of the HLA alleles between donor and recipient is an important prerequisite for successful unrelated hematopoietic stem cell transplantation. To increase the chances of finding an unrelated donor, registries recruit many hundred thousands of volunteers each year. Many registries with limited resources have had to find a trade-off between cost and resolution and extent of typing for newly recruited donors in the past. Therefore, we have taken advantage of recent improvements in NGS to develop a workflow for low-cost, high-resolution HLA typing.

Twitter Demographics

The data shown below were collected from the profiles of 12 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 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Germany 2 <1%
United Kingdom 2 <1%
Brazil 2 <1%
Italy 2 <1%
Israel 1 <1%
Netherlands 1 <1%
Sweden 1 <1%
United Arab Emirates 1 <1%
Other 9 3%
Unknown 235 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 88 33%
Student > Ph. D. Student 34 13%
Student > Master 27 10%
Other 23 9%
Student > Bachelor 16 6%
Other 53 20%
Unknown 22 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 127 48%
Biochemistry, Genetics and Molecular Biology 54 21%
Medicine and Dentistry 17 6%
Immunology and Microbiology 12 5%
Computer Science 3 1%
Other 17 6%
Unknown 33 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 April 2017.
All research outputs
#1,845,307
of 12,373,620 outputs
Outputs from BMC Genomics
#1,036
of 7,313 outputs
Outputs of similar age
#35,171
of 225,450 outputs
Outputs of similar age from BMC Genomics
#105
of 877 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 85% 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 225,450 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 84% of its contemporaries.
We're also able to compare this research output to 877 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.