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Characterizing glycosyltransferases by a combination of sequencing platforms applied to the leaf tissues of Stevia rebaudiana

Overview of attention for article published in BMC Genomics, November 2020
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1 X user

Citations

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17 Mendeley
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Title
Characterizing glycosyltransferases by a combination of sequencing platforms applied to the leaf tissues of Stevia rebaudiana
Published in
BMC Genomics, November 2020
DOI 10.1186/s12864-020-07195-5
Pubmed ID
Authors

Shaoshan Zhang, Qiong Liu, Chengcheng Lyu, Jinsong Chen, Renfeng Xiao, Jingtian Chen, Yunshu Yang, Huihui Zhang, Kai Hou, Wei Wu

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 41%
Student > Doctoral Student 2 12%
Researcher 2 12%
Unspecified 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 4 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 29%
Agricultural and Biological Sciences 4 24%
Unspecified 1 6%
Chemical Engineering 1 6%
Social Sciences 1 6%
Other 0 0%
Unknown 5 29%
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 November 2020.
All research outputs
#20,669,023
of 23,263,851 outputs
Outputs from BMC Genomics
#9,350
of 10,735 outputs
Outputs of similar age
#353,903
of 414,162 outputs
Outputs of similar age from BMC Genomics
#130
of 176 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,735 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 414,162 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.