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Editorial: Translational Research for Cucurbit Molecular Breeding: Traits, Markers, and Genes

Overview of attention for article published in Frontiers in Plant Science, November 2020
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2 X users

Citations

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Readers on

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20 Mendeley
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Title
Editorial: Translational Research for Cucurbit Molecular Breeding: Traits, Markers, and Genes
Published in
Frontiers in Plant Science, November 2020
DOI 10.3389/fpls.2020.615346
Pubmed ID
Authors

Yiqun Weng, Jordi Garcia-Mas, Amnon Levi, Feishi Luan

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 15%
Researcher 2 10%
Student > Postgraduate 2 10%
Lecturer 1 5%
Student > Doctoral Student 1 5%
Other 5 25%
Unknown 6 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 20%
Biochemistry, Genetics and Molecular Biology 2 10%
Linguistics 1 5%
Unspecified 1 5%
Computer Science 1 5%
Other 3 15%
Unknown 8 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 January 2021.
All research outputs
#18,116,235
of 23,271,751 outputs
Outputs from Frontiers in Plant Science
#12,444
of 21,047 outputs
Outputs of similar age
#359,000
of 508,842 outputs
Outputs of similar age from Frontiers in Plant Science
#368
of 547 outputs
Altmetric has tracked 23,271,751 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,047 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 508,842 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 547 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.