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Long non-coding RNAs in the alkaline stress response in sugar beet (Beta vulgaris L.)

Overview of attention for article published in BMC Plant Biology, May 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
video
1 YouTube creator

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Long non-coding RNAs in the alkaline stress response in sugar beet (Beta vulgaris L.)
Published in
BMC Plant Biology, May 2020
DOI 10.1186/s12870-020-02437-w
Pubmed ID
Authors

Chunlei Zou, Yubo Wang, Bin Wang, Dan Liu, Lei Liu, Zhijia Gai, Caifeng Li

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Researcher 1 10%
Student > Doctoral Student 1 10%
Student > Master 1 10%
Unknown 4 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 30%
Agricultural and Biological Sciences 3 30%
Unknown 4 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 06 September 2023.
All research outputs
#19,850,848
of 24,394,175 outputs
Outputs from BMC Plant Biology
#2,246
of 3,421 outputs
Outputs of similar age
#299,335
of 394,351 outputs
Outputs of similar age from BMC Plant Biology
#59
of 112 outputs
Altmetric has tracked 24,394,175 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,421 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 21st percentile – i.e., 21% 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 394,351 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.