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Genome Wide Association Study Pinpoints Key Agronomic QTLs in African Rice Oryza glaberrima

Overview of attention for article published in Rice, September 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#32 of 410)
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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17 X users

Citations

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19 Dimensions

Readers on

mendeley
51 Mendeley
Title
Genome Wide Association Study Pinpoints Key Agronomic QTLs in African Rice Oryza glaberrima
Published in
Rice, September 2020
DOI 10.1186/s12284-020-00424-1
Pubmed ID
Authors

Philippe Cubry, Hélène Pidon, Kim Nhung Ta, Christine Tranchant-Dubreuil, Anne-Céline Thuillet, Maria Holzinger, Hélène Adam, Honoré Kam, Harold Chrestin, Alain Ghesquière, Olivier François, François Sabot, Yves Vigouroux, Laurence Albar, Stefan Jouannic

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 20%
Student > Ph. D. Student 5 10%
Student > Master 5 10%
Student > Doctoral Student 4 8%
Student > Bachelor 2 4%
Other 7 14%
Unknown 18 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 45%
Biochemistry, Genetics and Molecular Biology 4 8%
Environmental Science 1 2%
Arts and Humanities 1 2%
Unspecified 1 2%
Other 1 2%
Unknown 20 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 24 July 2022.
All research outputs
#3,133,530
of 24,629,540 outputs
Outputs from Rice
#32
of 410 outputs
Outputs of similar age
#72,509
of 381,725 outputs
Outputs of similar age from Rice
#3
of 8 outputs
Altmetric has tracked 24,629,540 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 410 research outputs from this source. They receive a mean Attention Score of 4.0. 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 381,725 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.