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QTL and Transcriptomic Analyses Implicate Cuticle Transcription Factor SHINE as a Source of Natural Variation for Epidermal Traits in Cucumber Fruit

Overview of attention for article published in Frontiers in Plant Science, November 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 (86th percentile)

Mentioned by

twitter
13 X users

Citations

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12 Dimensions

Readers on

mendeley
28 Mendeley
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Title
QTL and Transcriptomic Analyses Implicate Cuticle Transcription Factor SHINE as a Source of Natural Variation for Epidermal Traits in Cucumber Fruit
Published in
Frontiers in Plant Science, November 2019
DOI 10.3389/fpls.2019.01536
Pubmed ID
Authors

Stephanie Rett-Cadman, Marivi Colle, Ben Mansfeld, Cornelius S. Barry, Yuhui Wang, Yiqun Weng, Lei Gao, Zhangjun Fei, Rebecca Grumet

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 18%
Student > Doctoral Student 4 14%
Student > Ph. D. Student 3 11%
Other 1 4%
Lecturer 1 4%
Other 4 14%
Unknown 10 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 39%
Biochemistry, Genetics and Molecular Biology 4 14%
Arts and Humanities 1 4%
Unspecified 1 4%
Chemistry 1 4%
Other 1 4%
Unknown 9 32%
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 01 January 2020.
All research outputs
#3,849,243
of 23,170,347 outputs
Outputs from Frontiers in Plant Science
#1,961
of 20,871 outputs
Outputs of similar age
#89,202
of 459,191 outputs
Outputs of similar age from Frontiers in Plant Science
#55
of 423 outputs
Altmetric has tracked 23,170,347 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 20,871 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 90% 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 459,191 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 423 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.