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Fast and accurate relatedness estimation from high-throughput sequencing data in the presence of inbreeding

Overview of attention for article published in Giga Science, April 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

twitter
7 X users
peer_reviews
1 peer review site
facebook
1 Facebook page

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
106 Mendeley
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Title
Fast and accurate relatedness estimation from high-throughput sequencing data in the presence of inbreeding
Published in
Giga Science, April 2019
DOI 10.1093/gigascience/giz034
Pubmed ID
Authors

Kristian Hanghøj, Ida Moltke, Philip Alstrup Andersen, Andrea Manica, Thorfinn Sand Korneliussen

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 23%
Researcher 19 18%
Student > Bachelor 13 12%
Student > Master 11 10%
Student > Postgraduate 5 5%
Other 5 5%
Unknown 29 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 36%
Biochemistry, Genetics and Molecular Biology 23 22%
Environmental Science 5 5%
Computer Science 2 2%
Engineering 2 2%
Other 2 2%
Unknown 34 32%
Attention Score in Context

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 07 September 2021.
All research outputs
#6,960,560
of 25,462,162 outputs
Outputs from Giga Science
#928
of 1,170 outputs
Outputs of similar age
#119,996
of 363,471 outputs
Outputs of similar age from Giga Science
#37
of 43 outputs
Altmetric has tracked 25,462,162 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,170 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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 363,471 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 43 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.