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Modeling non-linear relationships in epidemiological data: The application and interpretation of spline models

Overview of attention for article published in Frontiers in Epidemiology, August 2022
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About this Attention Score

  • Among the highest-scoring outputs from this source (#46 of 183)
  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
5 X users

Citations

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18 Dimensions

Readers on

mendeley
37 Mendeley
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Title
Modeling non-linear relationships in epidemiological data: The application and interpretation of spline models
Published in
Frontiers in Epidemiology, August 2022
DOI 10.3389/fepid.2022.975380
Pubmed ID
Authors

Noah A. Schuster, Judith J. M. Rijnhart, Jos W. R. Twisk, Martijn W. Heymans

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 27%
Researcher 4 11%
Student > Master 3 8%
Student > Bachelor 1 3%
Student > Postgraduate 1 3%
Other 1 3%
Unknown 17 46%
Readers by discipline Count As %
Medicine and Dentistry 8 22%
Nursing and Health Professions 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Psychology 2 5%
Computer Science 1 3%
Other 2 5%
Unknown 19 51%
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 13 February 2024.
All research outputs
#8,364,825
of 26,433,695 outputs
Outputs from Frontiers in Epidemiology
#46
of 183 outputs
Outputs of similar age
#147,460
of 437,821 outputs
Outputs of similar age from Frontiers in Epidemiology
#6
of 19 outputs
Altmetric has tracked 26,433,695 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 183 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 73% 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 437,821 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 65% of its contemporaries.
We're also able to compare this research output to 19 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 68% of its contemporaries.