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Applied comparison of large‐scale propensity score matching and cardinality matching for causal inference in observational research

Overview of attention for article published in BMC Medical Research Methodology, May 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Applied comparison of large‐scale propensity score matching and cardinality matching for causal inference in observational research
Published in
BMC Medical Research Methodology, May 2021
DOI 10.1186/s12874-021-01282-1
Pubmed ID
Authors

Stephen P. Fortin, Stephen S Johnston, Martijn J Schuemie

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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Researcher 3 17%
Student > Doctoral Student 2 11%
Student > Master 2 11%
Student > Bachelor 1 6%
Other 1 6%
Unknown 5 28%
Readers by discipline Count As %
Medicine and Dentistry 5 28%
Pharmacology, Toxicology and Pharmaceutical Science 2 11%
Nursing and Health Professions 2 11%
Arts and Humanities 1 6%
Energy 1 6%
Other 1 6%
Unknown 6 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 May 2021.
All research outputs
#13,887,449
of 23,548,905 outputs
Outputs from BMC Medical Research Methodology
#1,324
of 2,078 outputs
Outputs of similar age
#206,015
of 448,850 outputs
Outputs of similar age from BMC Medical Research Methodology
#41
of 59 outputs
Altmetric has tracked 23,548,905 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,078 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 33rd percentile – i.e., 33% 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 448,850 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 52% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.