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Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso

Overview of attention for article published in BMC Bioinformatics, January 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso
Published in
BMC Bioinformatics, January 2023
DOI 10.1186/s12859-023-05143-0
Pubmed ID
Authors

Wencan Zhu, Céline Lévy-Leduc, Nils Ternès

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 10%
Lecturer 1 10%
Unknown 8 80%
Readers by discipline Count As %
Computer Science 1 10%
Agricultural and Biological Sciences 1 10%
Unknown 8 80%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 31 January 2023.
All research outputs
#8,196,110
of 25,271,884 outputs
Outputs from BMC Bioinformatics
#3,041
of 7,669 outputs
Outputs of similar age
#151,499
of 470,326 outputs
Outputs of similar age from BMC Bioinformatics
#37
of 128 outputs
Altmetric has tracked 25,271,884 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 7,669 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 58% 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 470,326 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 128 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 70% of its contemporaries.