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Gene co-expression network analysis identifies trait-related modules in Arabidopsis thaliana

Overview of attention for article published in Planta, January 2019
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Mentioned by

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1 X user

Citations

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30 Dimensions

Readers on

mendeley
34 Mendeley
Title
Gene co-expression network analysis identifies trait-related modules in Arabidopsis thaliana
Published in
Planta, January 2019
DOI 10.1007/s00425-019-03102-9
Pubmed ID
Authors

Wei Liu, Liping Lin, Zhiyuan Zhang, Siqi Liu, Kuan Gao, Yanbin Lv, Huan Tao, Huaqin He

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

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 32%
Student > Master 7 21%
Student > Bachelor 3 9%
Researcher 3 9%
Other 2 6%
Other 3 9%
Unknown 5 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 47%
Biochemistry, Genetics and Molecular Biology 8 24%
Computer Science 2 6%
Unspecified 1 3%
Unknown 7 21%
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 01 February 2019.
All research outputs
#20,552,296
of 23,125,690 outputs
Outputs from Planta
#2,396
of 2,743 outputs
Outputs of similar age
#370,877
of 438,016 outputs
Outputs of similar age from Planta
#30
of 38 outputs
Altmetric has tracked 23,125,690 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 2,743 research outputs from this source. They receive a mean Attention Score of 3.3. 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 438,016 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 38 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.