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Breaking the curse of dimensionality to identify causal variants in Breeding 4

Overview of attention for article published in Theoretical & Applied Genetics, December 2018
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
26 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
62 Mendeley
Title
Breaking the curse of dimensionality to identify causal variants in Breeding 4
Published in
Theoretical & Applied Genetics, December 2018
DOI 10.1007/s00122-018-3267-3
Pubmed ID
Authors

Guillaume P. Ramstein, Sarah E. Jensen, Edward S. Buckler

Twitter Demographics

The data shown below were collected from the profiles of 26 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 29%
Student > Ph. D. Student 16 26%
Student > Master 6 10%
Professor 5 8%
Other 4 6%
Other 13 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 76%
Biochemistry, Genetics and Molecular Biology 5 8%
Unspecified 5 8%
Computer Science 3 5%
Neuroscience 1 2%
Other 1 2%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 12 February 2019.
All research outputs
#1,030,287
of 13,352,827 outputs
Outputs from Theoretical & Applied Genetics
#80
of 2,146 outputs
Outputs of similar age
#44,414
of 331,428 outputs
Outputs of similar age from Theoretical & Applied Genetics
#6
of 52 outputs
Altmetric has tracked 13,352,827 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,146 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 96% 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 331,428 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 86% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.