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An introduction to new robust linear and monotonic correlation coefficients

Overview of attention for article published in BMC Bioinformatics, March 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

blogs
1 blog
twitter
6 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
24 Mendeley
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Title
An introduction to new robust linear and monotonic correlation coefficients
Published in
BMC Bioinformatics, March 2021
DOI 10.1186/s12859-021-04098-4
Pubmed ID
Authors

Mohammad Tabatabai, Stephanie Bailey, Zoran Bursac, Habib Tabatabai, Derek Wilus, Karan P. Singh

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 25%
Researcher 4 17%
Student > Ph. D. Student 3 13%
Other 1 4%
Professor > Associate Professor 1 4%
Other 0 0%
Unknown 9 38%
Readers by discipline Count As %
Computer Science 3 13%
Medicine and Dentistry 2 8%
Engineering 2 8%
Economics, Econometrics and Finance 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 3 13%
Unknown 11 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 04 April 2021.
All research outputs
#3,651,284
of 23,301,510 outputs
Outputs from BMC Bioinformatics
#1,294
of 7,379 outputs
Outputs of similar age
#89,511
of 431,687 outputs
Outputs of similar age from BMC Bioinformatics
#36
of 166 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,379 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 82% of its peers.
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 431,687 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.