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Screening populations for copy number variation using genotyping-by-sequencing: a proof of concept using soybean fast neutron mutants

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

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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4 X users

Citations

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8 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Screening populations for copy number variation using genotyping-by-sequencing: a proof of concept using soybean fast neutron mutants
Published in
BMC Genomics, August 2019
DOI 10.1186/s12864-019-5998-1
Pubmed ID
Authors

Marc-André Lemay, Davoud Torkamaneh, Guillem Rigaill, Brian Boyle, Adrian O. Stec, Robert M. Stupar, François Belzile

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 26%
Student > Master 4 21%
Student > Postgraduate 2 11%
Professor > Associate Professor 2 11%
Student > Bachelor 1 5%
Other 2 11%
Unknown 3 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 58%
Biochemistry, Genetics and Molecular Biology 3 16%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Medicine and Dentistry 1 5%
Unknown 3 16%
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 07 August 2019.
All research outputs
#7,697,099
of 23,577,654 outputs
Outputs from BMC Genomics
#3,675
of 10,787 outputs
Outputs of similar age
#134,262
of 346,280 outputs
Outputs of similar age from BMC Genomics
#59
of 163 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,787 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 65% 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 346,280 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 60% of its contemporaries.
We're also able to compare this research output to 163 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.