↓ Skip to main content

Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges

Overview of attention for article published in BMC Medicine, May 2023
Altmetric Badge

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

Mentioned by

twitter
12 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
42 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges
Published in
BMC Medicine, May 2023
DOI 10.1186/s12916-023-02858-y
Pubmed ID
Authors

Jörg Rahnenführer, Riccardo De Bin, Axel Benner, Federico Ambrogi, Lara Lusa, Anne-Laure Boulesteix, Eugenia Migliavacca, Harald Binder, Stefan Michiels, Willi Sauerbrei, Lisa McShane

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 12%
Student > Master 4 10%
Researcher 4 10%
Lecturer 2 5%
Other 2 5%
Other 6 14%
Unknown 19 45%
Readers by discipline Count As %
Computer Science 6 14%
Agricultural and Biological Sciences 2 5%
Mathematics 2 5%
Medicine and Dentistry 2 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 8 19%
Unknown 21 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 14 July 2023.
All research outputs
#4,319,169
of 24,608,500 outputs
Outputs from BMC Medicine
#2,172
of 3,804 outputs
Outputs of similar age
#76,075
of 373,978 outputs
Outputs of similar age from BMC Medicine
#51
of 102 outputs
Altmetric has tracked 24,608,500 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,804 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.9. This one is in the 42nd percentile – i.e., 42% 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 373,978 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 102 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.