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Novel Design of Imputation-Enabled SNP Arrays for Breeding and Research Applications Supporting Multi-Species Hybridization

Overview of attention for article published in Frontiers in Plant Science, December 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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4 X users

Citations

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12 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Novel Design of Imputation-Enabled SNP Arrays for Breeding and Research Applications Supporting Multi-Species Hybridization
Published in
Frontiers in Plant Science, December 2021
DOI 10.3389/fpls.2021.756877
Pubmed ID
Authors

Gabriel Keeble-Gagnère, Raj Pasam, Kerrie L. Forrest, Debbie Wong, Hannah Robinson, Jayfred Godoy, Allan Rattey, David Moody, Daniel Mullan, Tresslyn Walmsley, Hans D. Daetwyler, Josquin Tibbits, Matthew J. Hayden

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 26%
Student > Master 3 11%
Professor 2 7%
Other 1 4%
Student > Doctoral Student 1 4%
Other 3 11%
Unknown 10 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 44%
Computer Science 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Unspecified 1 4%
Social Sciences 1 4%
Other 0 0%
Unknown 10 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 January 2022.
All research outputs
#13,801,581
of 22,908,162 outputs
Outputs from Frontiers in Plant Science
#7,168
of 20,332 outputs
Outputs of similar age
#221,590
of 499,630 outputs
Outputs of similar age from Frontiers in Plant Science
#264
of 966 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,332 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 63% 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 499,630 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 54% of its contemporaries.
We're also able to compare this research output to 966 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 72% of its contemporaries.