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Allele-Level KIR Genotyping of More Than a Million Samples: Workflow, Algorithm, and Observations

Overview of attention for article published in Frontiers in immunology, December 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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8 X users

Citations

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55 Dimensions

Readers on

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55 Mendeley
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Title
Allele-Level KIR Genotyping of More Than a Million Samples: Workflow, Algorithm, and Observations
Published in
Frontiers in immunology, December 2018
DOI 10.3389/fimmu.2018.02843
Pubmed ID
Authors

Ines Wagner, Daniel Schefzyk, Jens Pruschke, Gerhard Schöfl, Bianca Schöne, Nicole Gruber, Kathrin Lang, Jan Hofmann, Christine Gnahm, Bianca Heyn, Wesley M. Marin, Ravi Dandekar, Jill A. Hollenbach, Johannes Schetelig, Julia Pingel, Paul J. Norman, Jürgen Sauter, Alexander H. Schmidt, Vinzenz Lange

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 24%
Other 7 13%
Student > Ph. D. Student 7 13%
Student > Master 5 9%
Student > Bachelor 4 7%
Other 8 15%
Unknown 11 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 25%
Immunology and Microbiology 8 15%
Agricultural and Biological Sciences 6 11%
Medicine and Dentistry 5 9%
Social Sciences 2 4%
Other 6 11%
Unknown 14 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 December 2018.
All research outputs
#8,101,515
of 26,227,947 outputs
Outputs from Frontiers in immunology
#9,543
of 32,882 outputs
Outputs of similar age
#150,069
of 450,066 outputs
Outputs of similar age from Frontiers in immunology
#214
of 602 outputs
Altmetric has tracked 26,227,947 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 32,882 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has gotten more attention than average, scoring higher than 70% 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 450,066 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 602 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 63% of its contemporaries.