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PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach

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

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
8 X users

Readers on

mendeley
11 Mendeley
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Title
PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach
Published in
BMC Bioinformatics, February 2023
DOI 10.1186/s12859-023-05187-2
Pubmed ID
Authors

Malik Yousef, Fatma Ozdemir, Amhar Jaber, Jens Allmer, Burcu Bakir-Gungor

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Researcher 1 9%
Unknown 8 73%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 18%
Medicine and Dentistry 1 9%
Unknown 8 73%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 November 2023.
All research outputs
#14,074,215
of 24,876,519 outputs
Outputs from BMC Bioinformatics
#3,803
of 7,602 outputs
Outputs of similar age
#160,399
of 413,544 outputs
Outputs of similar age from BMC Bioinformatics
#48
of 132 outputs
Altmetric has tracked 24,876,519 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,602 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 48th percentile – i.e., 48% 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 413,544 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 60% of its contemporaries.
We're also able to compare this research output to 132 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 63% of its contemporaries.