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HLA-VBSeq: accurate HLA typing at full resolution from whole-genome sequencing data

Overview of attention for article published in BMC Genomics, January 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

twitter
5 tweeters
patent
2 patents

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
102 Mendeley
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Title
HLA-VBSeq: accurate HLA typing at full resolution from whole-genome sequencing data
Published in
BMC Genomics, January 2015
DOI 10.1186/1471-2164-16-s2-s7
Pubmed ID
Authors

Naoki Nariai, Kaname Kojima, Sakae Saito, Takahiro Mimori, Yukuto Sato, Yosuke Kawai, Yumi Yamaguchi-Kabata, Jun Yasuda, Masao Nagasaki

Twitter Demographics

The data shown below were collected from the profiles of 5 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Brazil 1 <1%
Unknown 100 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 30%
Student > Ph. D. Student 17 17%
Other 10 10%
Student > Master 9 9%
Student > Postgraduate 5 5%
Other 13 13%
Unknown 17 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 29%
Biochemistry, Genetics and Molecular Biology 17 17%
Medicine and Dentistry 9 9%
Immunology and Microbiology 7 7%
Computer Science 7 7%
Other 9 9%
Unknown 23 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 October 2020.
All research outputs
#4,894,799
of 18,990,581 outputs
Outputs from BMC Genomics
#2,166
of 9,686 outputs
Outputs of similar age
#69,659
of 304,752 outputs
Outputs of similar age from BMC Genomics
#1
of 1 outputs
Altmetric has tracked 18,990,581 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 9,686 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 77% 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 304,752 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 76% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them