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Quantitative Trait Loci Mapping and Candidate Gene Analysis of Low Temperature Tolerance in Cucumber Seedlings

Overview of attention for article published in Frontiers in Plant Science, December 2019
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2 X users

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12 Mendeley
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Title
Quantitative Trait Loci Mapping and Candidate Gene Analysis of Low Temperature Tolerance in Cucumber Seedlings
Published in
Frontiers in Plant Science, December 2019
DOI 10.3389/fpls.2019.01620
Pubmed ID
Authors

Shaoyun Dong, Weiping Wang, Kailiang Bo, Han Miao, Zichao Song, Shuang Wei, Shengping Zhang, Xingfang Gu

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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 17%
Librarian 1 8%
Student > Bachelor 1 8%
Lecturer 1 8%
Student > Ph. D. Student 1 8%
Other 1 8%
Unknown 5 42%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 42%
Social Sciences 1 8%
Unknown 6 50%
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 17 January 2020.
All research outputs
#18,046,378
of 23,186,937 outputs
Outputs from Frontiers in Plant Science
#12,329
of 20,905 outputs
Outputs of similar age
#318,134
of 459,447 outputs
Outputs of similar age from Frontiers in Plant Science
#289
of 398 outputs
Altmetric has tracked 23,186,937 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 20,905 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 459,447 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 398 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.