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High throughput genotyping of structural variations in a complex plant genome using an original Affymetrix® axiom® array

Overview of attention for article published in BMC Genomics, November 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
31 Mendeley
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Title
High throughput genotyping of structural variations in a complex plant genome using an original Affymetrix® axiom® array
Published in
BMC Genomics, November 2019
DOI 10.1186/s12864-019-6136-9
Pubmed ID
Authors

Clément Mabire, Jorge Duarte, Aude Darracq, Ali Pirani, Hélène Rimbert, Delphine Madur, Valérie Combes, Clémentine Vitte, Sébastien Praud, Nathalie Rivière, Johann Joets, Jean-Philippe Pichon, Stéphane D. Nicolas

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 16%
Unspecified 3 10%
Researcher 3 10%
Student > Master 3 10%
Professor 2 6%
Other 5 16%
Unknown 10 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 39%
Unspecified 3 10%
Biochemistry, Genetics and Molecular Biology 3 10%
Medicine and Dentistry 1 3%
Unknown 12 39%
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 05 June 2022.
All research outputs
#6,919,568
of 23,173,635 outputs
Outputs from BMC Genomics
#3,110
of 10,715 outputs
Outputs of similar age
#125,358
of 360,036 outputs
Outputs of similar age from BMC Genomics
#59
of 224 outputs
Altmetric has tracked 23,173,635 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 10,715 research outputs from this source. They receive a mean Attention Score of 4.7. 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 360,036 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 64% of its contemporaries.
We're also able to compare this research output to 224 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 73% of its contemporaries.