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Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework

Overview of attention for article published in BMC Medical Research Methodology, March 2019
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About this Attention Score

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

Mentioned by

blogs
1 blog

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
40 Mendeley
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Title
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework
Published in
BMC Medical Research Methodology, March 2019
DOI 10.1186/s12874-019-0673-4
Pubmed ID
Authors

Simon Bussy, Raphaël Veil, Vincent Looten, Anita Burgun, Stéphane Gaïffas, Agathe Guilloux, Brigitte Ranque, Anne-Sophie Jannot

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Researcher 6 15%
Student > Bachelor 4 10%
Student > Master 3 8%
Lecturer 2 5%
Other 6 15%
Unknown 12 30%
Readers by discipline Count As %
Mathematics 5 13%
Computer Science 5 13%
Medicine and Dentistry 4 10%
Biochemistry, Genetics and Molecular Biology 2 5%
Business, Management and Accounting 2 5%
Other 8 20%
Unknown 14 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 07 March 2019.
All research outputs
#5,840,423
of 23,132,033 outputs
Outputs from BMC Medical Research Methodology
#831
of 2,036 outputs
Outputs of similar age
#110,183
of 352,421 outputs
Outputs of similar age from BMC Medical Research Methodology
#39
of 55 outputs
Altmetric has tracked 23,132,033 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,036 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 55% 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 352,421 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 55 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.