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Path-level interpretation of Gaussian graphical models using the pair-path subscore

Overview of attention for article published in BMC Bioinformatics, January 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Path-level interpretation of Gaussian graphical models using the pair-path subscore
Published in
BMC Bioinformatics, January 2022
DOI 10.1186/s12859-021-04542-5
Pubmed ID
Authors

Nathan P. Gill, Raji Balasubramanian, James R. Bain, Michael J. Muehlbauer, William L. Lowe Jr., Denise M. Scholtens

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Bachelor 1 14%
Student > Ph. D. Student 1 14%
Unknown 3 43%
Readers by discipline Count As %
Computer Science 2 29%
Earth and Planetary Sciences 1 14%
Social Sciences 1 14%
Unknown 3 43%
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 31 January 2022.
All research outputs
#4,070,655
of 24,629,540 outputs
Outputs from BMC Bioinformatics
#1,421
of 7,561 outputs
Outputs of similar age
#93,440
of 512,798 outputs
Outputs of similar age from BMC Bioinformatics
#41
of 144 outputs
Altmetric has tracked 24,629,540 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,561 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 done well, scoring higher than 80% 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 512,798 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 81% of its contemporaries.
We're also able to compare this research output to 144 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 69% of its contemporaries.