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Guidelines for correlation coefficient threshold settings in metabolite correlation networks exemplified on a potato association panel

Overview of attention for article published in BMC Bioinformatics, March 2021
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Mentioned by

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3 X users

Citations

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9 Dimensions

Readers on

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23 Mendeley
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Title
Guidelines for correlation coefficient threshold settings in metabolite correlation networks exemplified on a potato association panel
Published in
BMC Bioinformatics, March 2021
DOI 10.1186/s12859-021-03994-z
Pubmed ID
Authors

David Toubiana, Helena Maruenda

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Student > Master 3 13%
Student > Bachelor 3 13%
Lecturer 2 9%
Researcher 2 9%
Other 1 4%
Unknown 7 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 17%
Computer Science 4 17%
Business, Management and Accounting 3 13%
Mathematics 2 9%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 3 13%
Unknown 6 26%
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 11 March 2021.
All research outputs
#15,671,957
of 23,287,285 outputs
Outputs from BMC Bioinformatics
#5,468
of 7,375 outputs
Outputs of similar age
#259,553
of 422,656 outputs
Outputs of similar age from BMC Bioinformatics
#151
of 158 outputs
Altmetric has tracked 23,287,285 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,375 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 422,656 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.