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External control arm analysis: an evaluation of propensity score approaches, G-computation, and doubly debiased machine learning

Overview of attention for article published in BMC Medical Research Methodology, December 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
25 Mendeley
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Title
External control arm analysis: an evaluation of propensity score approaches, G-computation, and doubly debiased machine learning
Published in
BMC Medical Research Methodology, December 2022
DOI 10.1186/s12874-022-01799-z
Pubmed ID
Authors

Nicolas Loiseau, Paul Trichelair, Maxime He, Mathieu Andreux, Mikhail Zaslavskiy, Gilles Wainrib, Michael G. B. Blum

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 32%
Student > Ph. D. Student 3 12%
Student > Doctoral Student 2 8%
Unknown 12 48%
Readers by discipline Count As %
Mathematics 4 16%
Computer Science 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Environmental Science 1 4%
Other 4 16%
Unknown 12 48%
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 14 January 2024.
All research outputs
#7,614,827
of 25,163,238 outputs
Outputs from BMC Medical Research Methodology
#1,116
of 2,245 outputs
Outputs of similar age
#139,687
of 475,621 outputs
Outputs of similar age from BMC Medical Research Methodology
#21
of 54 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,245 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 49th percentile – i.e., 49% 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 475,621 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 70% of its contemporaries.
We're also able to compare this research output to 54 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 62% of its contemporaries.