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Genome-wide association multi-locus and multi-variate linear mixed models reveal two linked loci with major effects on partial resistance of apricot to bacterial canker

Overview of attention for article published in BMC Plant Biology, January 2019
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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14 X users

Citations

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10 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Genome-wide association multi-locus and multi-variate linear mixed models reveal two linked loci with major effects on partial resistance of apricot to bacterial canker
Published in
BMC Plant Biology, January 2019
DOI 10.1186/s12870-019-1631-3
Pubmed ID
Authors

Mariem Omrani, Morgane Roth, Guillaume Roch, Alain Blanc, Cindy E. Morris, Jean-Marc Audergon

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Student > Master 5 15%
Researcher 5 15%
Student > Doctoral Student 4 12%
Other 4 12%
Other 4 12%
Unknown 4 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 53%
Biochemistry, Genetics and Molecular Biology 7 21%
Computer Science 2 6%
Veterinary Science and Veterinary Medicine 1 3%
Unspecified 1 3%
Other 1 3%
Unknown 4 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 28 January 2019.
All research outputs
#3,769,301
of 23,124,001 outputs
Outputs from BMC Plant Biology
#241
of 3,294 outputs
Outputs of similar age
#86,388
of 438,136 outputs
Outputs of similar age from BMC Plant Biology
#8
of 99 outputs
Altmetric has tracked 23,124,001 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,294 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 92% 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 438,136 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 80% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.